Browse By Person: Milford, Michael

Zaffar, Mubariz, Ehsan, Shoaib, Milford, Michael, & McDonald-Maier, Klaus (2020) CoHOG: A light-weight, compute-efficient, and training-free visual place recognition technique for changing environments. IEEE Robotics and Automation Letters, 5(2), pp. 1835-1842.

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Ferrarini, Bruno, Waheed, Maria, Waheed, Sania, Ehsan, Shoaib, Milford, Michael J., & McDonald-Maier, Klaus D. (2020) Exploring performance bounds of visual place recognition using extended precision. IEEE Robotics and Automation Letters, 5(2), pp. 1688-1695.

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Chancan, Marvin, Hernandez-Nunez, Luis, Narendra, Ajay, Barron, Andrew B., & Milford, Michael (2020) A hybrid compact neural architecture for visual place recognition. IEEE Robotics and Automation Letters, 5(2), pp. 993-1000.

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Mandel, Nicolas, Vanegas Alvarez, Fernando, Milford, Michael, & Gonzalez, Felipe (2020) Towards simulating semantic onboard UAV navigation. In IEEE Aerospace Conference 2020, 2020-03-07 - 2020-03-14. (In Press)

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Milford, Michael, Anthony, Sam, & Scheirer, Walter (2020) Self-driving vehicles: Key technical challenges and progress off the road. IEEE Potentials, 39(1), pp. 37-45.

Yu, Fangwen, Shang, Jianga, Hu, Youjian, & Milford, Michael (2019) NeuroSLAM: a brain-inspired SLAM system for 3D environments. Biological Cybernetics, 113(5-6), pp. 515-545.

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Hausler, Stephen, Jacobson, Adam, & Milford, Michael (2019) Filter early, match late: Improving network-based visual place recognition. In Proceedings of the 2019 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Institute of Electrical and Electronics Engineers Inc, United States of America, pp. 3268-3275.

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Le, Huu, Hoang, Tuan, & Milford, Michael J. (2019) BTEL: A binary tree encoding approach for visual localization. IEEE Robotics and Automation Letters, 4(4), pp. 4354-4361.

Zeng, Fan, Jacobson, Adam, Smith, David, Boswell, Nigel, Peynot, Thierry, & Milford, Michael (2019) TIMTAM: Tunnel-image texturally accorded mosaic for location refinement of underground vehicles with a single camera. IEEE Robotics and Automation Letters, 4(4), Article number: 8784227 4362-4369.

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Zhang, Fangyi, Leitner, Jürgen, Ge, Zongyuan, Milford, Michael, & Corke, Peter (2019) Adversarial discriminative sim-to-real transfer of visuo-motor policies. International Journal of Robotics Research, 38(10-11), pp. 1229-1245.

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Clement, Lee, Peretroukhin, Valentin, Giamou, Matthew, Leonard, John, Kress-Gazit, Hadas, How, Jonathan, et al. (2019) Where do we go from here? Debates on the future of robotics research at ICRA 2019 [From the Field]. IEEE Robotics and Automation Magazine, 26(3), pp. 7-10.

Ferrarini, Bruno, Waheed, Maria, Waheed, Sania, Ehsan, Shoaib, Milford, Michael, & McDonald-Maier, Klaus D. (2019) Visual place recognition for aerial robotics: Exploring accuracy-computation trade-off for local image descriptors. In Proceedings of the 2019 NASA/ESA Conference on Adaptive Hardware and Systems (AHS 2019). Institute of Electrical and Electronics Engineers Inc, United States of America, pp. 103-108.

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Miller, Dimity, Dayoub, Feras, Milford, Michael, & Suenderhauf, Niko (2019) Evaluating merging strategies for sampling-based uncertainty techniques in object detection. In Desai, J.P. (Ed.) Proceedings of the 2019 International Conference on Robotics and Automation (ICRA). IEEE, United States of America, pp. 2348-2354.

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Zeng, Fan, Jacobson, Adam, Smith, David, Boswell, Nigel, Peynot, Thierry, & Milford, Michael (2019) LookUP: Vision-only real-time precise underground localisation for autonomous mining vehicles. In Proceedings of the 2019 International Conference on Robotics and Automation (ICRA 2019). Institute of Electrical and Electronics Engineers Inc, United States of America, pp. 1444-1450.

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Garg, Sourav, Suenderhauf, Niko, & Milford, Michael (2019) Semantic-geometric visual place recognition: a new perspective for reconciling opposing views. International Journal of Robotics Research, Online(Online), pp. 1-26.

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Hausler, Stephen, Jacobson, Adam, & Milford, Michael (2019) Multi-process fusion: Visual place recognition using multiple image processing methods. IEEE Robotics and Automation Letters, 4(2), pp. 1924-1931.

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Le, Huu M., Eriksson, Anders, Do, Thanh Toan, & Milford, Michael (2019) A binary optimization approach for constrained K-means clustering. In Jawahar, C.V., Li, Hongdong, Mori, Greg, & Schindler, Konrad (Eds.) Computer Vision - ACCV 2018: 14th Asian Conference on Computer Vision, Revised Selected Papers, Part IV. Springer, Switzerland, pp. 383-398.

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Mao, Jun, Hu, Xiaoping, He, Xiaofeng, Zhang, Lilian, Wu, Liao, & Milford, Michael J. (2019) Learning to fuse multiscale features for visual place recognition. IEEE Access, 7, pp. 5723-5735.

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Nicholson, Lachlan, Milford, Michael, & Suenderhauf, Niko (2019) QuadricSLAM: Dual quadrics from object detections as landmarks in object-oriented SLAM. IEEE Robotics and Automation Letters, 4(1), Article number: 8440105 1-8.

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Garg, Sourav, Babu, Madhu, Dharmasiri, Thanuja, Hausler, Stephen, Suenderhauf, Niko, Kumar, Swagat, et al. (2019) Look no deeper: Recognizing places from opposing viewpoints under varying scene appearance using single-view depth estimation. In Dudek, G & Desai, J.P. (Eds.) Proceedings of the 2019 International Conference on Robotics and Automation (ICRA). IEEE, United States of America, pp. 4916-4923.

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Talbot, Ben, Garg, Sourav, & Milford, Michael (2018) OpenSeqSLAM2.0: An open source toolbox for visual place recognition under changing conditions. In Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). Institute of Electrical and Electronics Engineers Inc, United States of America, pp. 7758-7765.

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Nicholson, Lachlan Nicholson, Milford, Michael, & Sunderhauf, Niko (2018) QuadricSLAM: Dual quadrics as SLAM landmarks. In Proceedings of the 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2018). Institute of Electrical and Electronics Engineers Inc, United States of America, pp. 426-427.

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Latif, Yasir, Garg, Ravi, Milford, Michael, & Reid, Ian (2018) Addressing challenging place recognition tasks using generative adversarial networks. In Proceedings of the 2018 IEEE International Conference on Robotics and Automation (ICRA 2018). Institute of Electrical and Electronics Engineers Inc, United States of America, pp. 2349-2355.

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McCool, Chris, Beattie, James, Milford, Michael, Bakker, Jonathan D., Moore, Joslin L., & Firn, Jennifer (2018) Automating analysis of vegetation with computer vision: Cover estimates and classification. Ecology and Evolution, 8(12), pp. 6005-6015.

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Suenderhauf, Niko, Brock, Oliver, Scheirer, Walter, Hadsell, Raia, Fox, Dieter, Leitner, Jurgen, et al. (2018) The limits and potentials of deep learning for robotics. International Journal of Robotics Research, 37(4 - 5), pp. 405-420.

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Dall'Osto, Dominic, Hausler, Stephen, Jacobson, Adam, & Milford, Michael (2018) Automatic calibration of a biologically inspired neural network for robot SLAM. In Proceedings of the Australasian Conference on Robotics and Automation (ACRA 2018). Australian Robotics and Automation Association (ARAA), Australia, pp. 1-10.

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McMahon, Sean & Milford, Michael (2018) Multi-hazard visual affordance detection from targeted training and minimal data for driving environments. In Proceedings of the Australasian Conference on Robotics and Automation (ACRA 2018). Australian Robotics and Automation Association (ARAA), Australia, pp. 1-10.

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Mao, Jun, Hu, Xiaoping, & Milford, Michael (2018) An adaptive localization system for image storage and localization latency requirements. Robotics and Autonomous Systems, 107, pp. 246-261.

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Garg, Sourav, Suenderhauf, Niko, & Milford, Michael (2018) Don't look back: Robustifying place categorization for viewpoint- and condition-invariant place recognition. In Corke, P (Ed.) Proceedings of the 2018 IEEE International Conference on Robotics and Automation (ICRA). IEEE, United States of America, pp. 3645-3652.

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Hausler, Stephen, Jacobson, Adam, & Milford, Michael (2018) Feature map filtering: Improving visual place recognition with convolutional calibration. In Woodhead, I (Ed.) Proceedings of the Australasian Conference on Robotics and Automation (ACRA) 2018. Australian Robotics and Automation Association (ARAA), Australia, pp. 1-10.

Zeng, Fan, Jacobson, Adam, Smith, David, Boswell, Nigel, Peynot, Thierry, & Milford, Michael (2018) I2-S2: Intra-image-SeqSLAM for more accurate vision-based localisation in underground mines. In Woodhead, I (Ed.) Proceedings of the Australasian Conference on Robotics and Automation (ACRA) 2018. Australian Robotics and Automation Association (ARAA), Australia, pp. 1-10.

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Bruce, Jacob, Suenderhauf, Niko, Mirowski, Piotr, Hadsell, Raia, & Milford, Michael (2018) Learning deployable navigation policies at kilometer scale from a single traversal. In Dragan, A, Peters, J, Billard, A, & Morimoto, J (Eds.) Proceedings of Machine Learning Research (PMLR), Volume 87: Conference on Robot Learning 2018. Proceedings of Machine Learning Research, http://proceedings.mlr.press/, pp. 346-361.

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Garg, Sourav, Suenderhauf, Niko, & Milford, Michael (2018) LoST? Appearance-invariant place recognition for opposite viewpoints using visual semantics. In Howard, T, Atanasov, N, Srinivasa, S, & Kress-Gazit, H (Eds.) Robotics: Science and Systems XIV. Robotics Science and Systems Foundation, http://www.roboticsproceedings.org/index.html, pp. 1-10.

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Mcmahon, Sean, Suenderhauf, Niko, Upcroft, Ben, & Milford, Michael (2018) Multi-modal trip hazard affordance detection on construction sites. IEEE Robotics and Automation Letters, 3(1), pp. 1-8.

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Le, Huu, Eriksson, Anders, Milford, Michael, Do, Thanh Toan, Chin, Tat Jun, & Suter, David (2018) Non-smooth M-estimator for maximum consensus estimation. In British Machine Vision Conference, 2018-09-03 - 2018-09-06, Newcastle, United Kingdom.

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Jacobson, Adam, Zeng, Fan, Smith, David, Boswell, Nigel, Peynot, Thierry, & Milford, Michael (2018) Semi-supervised SLAM: Leveraging low-cost sensors on underground autonomous vehicles for position tracking. In Laschi, C (Ed.) Proceedings of the 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, United States of America, pp. 3970-3977.

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Milford, Michael & Mortimer, Gary (2018) When AI meets your shopping experience it knows what you buy - and what you ought to buy. The Conversation, August, pp. 1-6, 2018. [Article]

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Bruce, Jake, Jacobson, Adam, & Milford, Michael (2017) Look no further: Adapting the localization sensory window to the temporal characteristics of the environment. IEEE Robotics and Automation Letters, 2(4), pp. 2209-2216.

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Zhang, Fangyi, Leitner, Jurgen, Milford, Michael, & Corke, Peter (2017) Tuning modular networks with weighted losses for hand-eye coordination. In Wu, Y, Liu, Y, Rehg, J M, & Taylor, C J (Eds.) Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017. IEEE, United States of America, pp. 496-497.

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McMahon, Sean, Shen, Tong, Sünderhauf, Niko, Reid, Ian, Shen, Chunhua, & Milford, Michael (2017) Auxiliary tasks to improve trip hazard affordance detection on construction sites. In Kodagoda, Sarath, Calleja, Teresa Vidal, & Alempijevic, Alen (Eds.) Proceedings of the Australasian Conference on Robotics and Automation (ACRA 2017). Australian Robotics and Automation Association (ARAA), Australia, pp. 124-132.

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Mount, James & Milford, Michael (2017) Image rejection and match verification to improve surface-based localization. In Kodagoda, Sarath, Calleja, Teresa Vidal, & Alempijevic, Alen (Eds.) Proceedings of the 2017 Australasian Conference on Robotics and Automation (ACRA 2017). Australian Robotics and Automation Association (ARAA), Australia, pp. 213-222.

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Garg, Sourav & Milford, Michael (2017) Straightening sequence-search for appearance-invariant place recognition using robust motion estimation. In Alempijevic, Alen, Calleja, Teresa Vidal, & Kodagoda, Sarath (Eds.) Proceedings of the 2017 Australasian Conference on Robotics and Automation (ACRA 2017). Australian Robotics and Automation Association (ARAA), Australia, pp. 203-212.

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Nguyen, Chuong, Milford, Michael, & Mahony, Robert (2017) 3D tracking of water hazards with polarized stereo cameras. In Chen, I M & Nakamura, Y (Eds.) Proceedings of the 2017 IEEE International Conference on Robotics and Automation (ICRA). Institute of Electrical and Electronics Engineers (IEEE), United States of America, pp. 5251-5257.

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Rezazadegan, Fahimeh, Shirazi, Sareh, Upcroft, Ben, & Milford, Michael (2017) Action recognition: From static datasets to moving robots. In Chen, I M & Nakamura, Y (Eds.) Proceedings of the 2017 IEEE International Conference on Robotics and Automation (ICRA). IEEE, United States of America, pp. 3185-3191.

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Fan, Chen, Chen, Zetao, Jacobson, Adam, Hu, Xiaoping, & Milford, Michael (2017) Biologically-inspired visual place recognition with adaptive multiple scales. Robotics and Autonomous Systems, 96, pp. 224-237.

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Chen, Zetao, Jacobson, Adam, Suenderhauf, Niko, Upcroft, Ben, Liu, Lingqiao, Shen, Chunhua, et al. (2017) Deep learning features at scale for visual place recognition. In Chen, I M & Nakamura, Y (Eds.) Proceedings of the 2017 IEEE International Conference on Robotics and Automation (ICRA). IEEE, United States of America, pp. 3223-3230.

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Jacobson, Adam, Scheirer, Walter, & Milford, Michael (2017) Deja vu: Scalable place recognition using mutually supportive feature frequencies. In Zhang, H & Vaughan, R (Eds.) Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017). IEEE, United States of America, pp. 6654-6661.

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Zeng, Fan, Jacobson, Adam, Smith, David, Boswell, Nigel, Peynot, Thierry, & Milford, Michael (2017) Enhancing underground visual place recognition with Shannon Entropy saliency. In Kodagoda, S, Alempijevic, A, & Vidal Calleja T, T (Eds.) Proceedings of the Australasian Conference on Robotics and Automation 2017. Australian Robotics and Automation Association, Australia, pp. 1-10.

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Garg, Sourav, Jacobson, Adam, Kumar, Swagat, & Milford, Michael (2017) Improving condition- and environment-invariant place recognition with semantic place categorization. In Zhang, H & Vaughan, R (Eds.) Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017). IEEE, United States of America, pp. 6863-6870.

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Suenderhauf, Niko, Pham, Trung Thanh, Latif, Yasir, Milford, Michael, & Reid, Ian (2017) Meaningful maps with object-oriented semantic mapping. In Zhang, H & Vaughan, R (Eds.) Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2017). IEEE, United States of America, pp. 5079-5085.

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S�nderhauf, Niko, Pham, Trung-Thanh, Latif, Yasir, Milford, Michael, & Reid, Ian (2017) Meaningful maps – Object-oriented semantic mapping. CoRR.

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Zhang, Fangyi, Leitner, Jurgen, Milford, Michael, & Corke, Peter (2017) Modular deep Q networks for sim-to-real transfer of visuo-motor policies. In Alempijevic, A & Vidal Calleja T, T (Eds.) Proceedings of the Australasian Conference on Robotics and Automation 2017. Australian Robotics and Automation Association, Australia, pp. 1-10.

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Tow, Adam, Sünderhauf, Niko, Shirazi, Sareh, Milford, Michael, & Leitner, Jürgen (2017) What would you do? Acting by learning to predict. In International Conference on Intelligent Robots and Systems, 2017-09-24 - 2017-09-28.

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Mount, James & Milford, Michael (2016) 2D visual place recognition for domestic service robots at night. In Bicchi, A & De Luca, A (Eds.) Proceedings of the 2016 IEEE International Conference on Robotics and Automation. IEEE, United States of America, pp. 4822-4829.

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Skinner, John, Garg, Sourav, Suenderhauf, Niko, Corke, Peter, Upcroft, Ben, & Milford, Michael (2016) High-fidelity simulation for evaluating robotic vision performance. In Kwon, D S (Ed.) Proceedings of the 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2016). IEEE, United States of America, pp. 2737-2744.

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Suenderhauf, Niko, Dayoub, Feras, Mcmahon, Sean, Talbot, Benjamin, Schulz, Ruth, Corke, Peter, et al. (2016) Place categorization and semantic mapping on a mobile robot. In Bicchi, A & De Luca, A (Eds.) Proceedings of the 2016 IEEE International Conference on Robotics and Automation. IEEE, United States of America, pp. 5729-5736.

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Milford, Michael, Jacobson, Adam, Chen, Zetao, & Wyeth, Gordon (2016) RatSLAM: using models of rodent hippocampus for robot navigation and beyond. In Inaba, M & Corke, P (Eds.) Robotics Research: The 16th International Symposium ISRR [Springer Tracts in Advanced Robotics, Volume 114]. Springer, Switzerland, pp. 467-485.

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Tow, Adam, Shirazi, Sareh, Leitner, Jurgen, Suenderhauf, Niko, Milford, Michael, & Upcroft, Ben (2016) A robustness analysis of Deep Q Networks. In Pounds, P & Kurniawati, H (Eds.) Proceedings of the 2016 Australasian Conference on Robotics and Automation. Australian Robotics and Automation Association, Australia, pp. 116-125.

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Pepperell, Edward, Corke, Peter, & Milford, Michael (2016) Routed roads: Probabilistic vision-based place recognition for changing conditions, split streets and varied viewpoints. International Journal of Robotics Research, 35(9), pp. 1057-1179.

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Stone, Thomas, Differt, Dario, Milford, Michael, & Webb, Barbara (2016) Skyline-based localisation for aggressively manoeuvring robots using UV sensors and spherical harmonics. In Bicchi, A & De Luca, A (Eds.) Proceedings of the 2016 International Conference on Robotics and Automation (ICRA). IEEE, United States of America, pp. 5615-5622.

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Lowry, Stephanie & Milford, Michael (2016) Supervised and Unsupervised Linear Learning Techniques for Visual Place Recognition in Changing Environments. IEEE Transactions on Robotics, 32(3), pp. 600-613.

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Sergeant, James, Doran, Gary, Thompson, David, Allwood, Abigail, Lehnert, Christopher, Upcroft, Ben, et al. (2016) Towards multimodal and condition-invariant vision-based registration for robot positioning on changing surfaces. In Pounds, P & Kurniawati, H (Eds.) Proceedings of the 2016 Australasian Conference on Robotics and Automation. Australian Robotics and Automation Association, Australia, pp. 1-10.

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Stratton, Peter, Hasselmo, Michael, & Milford, Michael (2016) Unlocking neural complexity with a robotic key. Journal of Physiology, 594(22), pp. 6559-6567.

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Lowry, Stephanie, Suenderhauf, Niko, Newman, Paul, Leonard, John, Cox, David, Corke, Peter, et al. (2016) Visual place recognition: A survey. IEEE Transactions on Robotics, 32(1), pp. 1-19.

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Mount, James, Rallabandi, Venkateswara Rao, & Milford, Michael (2015) 2D visual localization for robot vacuum cleaners at night. In Mahony, Robert, Kim, Jonghyuk, & Li, Hongdong (Eds.) Proceedings of the Australasian Conference on Robotics and Automation 2015 (ACRA 2015). Australian Robotics and Automation Association (ACRA), Australia, pp. 1-8.

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Pepperell, Edward, Corke, Peter, & Milford, Michael (2015) Automatic image scaling for place recognition in changing environments. In Amato, N M (Ed.) Proceedings of the 2015 IEEE International Conference on Robotics and Automation (ICRA 2015). IEEE, United States of America, pp. 1118-1124.

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Jacobson, Adam, Chen, Zetao, & Milford, Michael (2015) Autonomous multisensor calibration and closed-loop fusion for SLAM. Journal of Field Robotics, 31(1), pp. 85-122.

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Chen, Zetao, Lowry, Stephanie, Jacobson, Adam, Hasselmo, Michael, & Milford, Michael (2015) Bio-inspired homogeneous multi-scale place recognition. Neural Networks, 72, pp. 48-61.

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Lowry, Stephanie & Milford, Michael (2015) Building beliefs: Unsupervised generation of observation likelihoods for probabilistic localization in changing environments. In Burgard, W (Ed.) Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015). IEEE, United States of America, pp. 3071-3078.

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Sünderhauf, Niko, Upcroft, Ben, & Milford, Michael (2015) Continuous factor graphs for holistic scene understanding. In International Conference on Computer Vision and Pattern Recognition, 2015-06-07 - 2015-06-12. (Unpublished)

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Chen, Zetao, Lowry, Stephanie, Jacobson, Adam, Ge, Zongyuan, & Milford, Michael (2015) Distance metric learning for feature-agnostic place recognition. In Burgard, W (Ed.) Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015). IEEE, United States of America, pp. 2556-2563.

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Rezazadegan, Fahimeh, Shirazi, Sareh, Suenderhauf, Niko, Milford, Michael, & Upcroft, Ben (2015) Enhancing human action recognition with region proposals. In Li, H & Kim, J (Eds.) Proceedings of the Australasian Conference on Robotics and Automation 2015. Australian Robotics and Automation Association, Australia, pp. 1-6.

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Rezazadegan, Fahimeh, Shirazi, Sareh, Milford, Michael, & Upcroft, Ben (2015) Evaluation of object detection proposals under condition variations. In Workshop on Women in Computer Vision, 2015-06-07 - 2015-06-12.

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Erdem, Ugur, Milford, Michael, & Hasselmo, Michael (2015) A hierarchical model of goal directed navigation selects trajectories in a visual environment. Neurobiology of Learning and Memory, 117, pp. 109-121.

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Jacobson, Adam, Chen, Zetao, Rallabandi, Venkateswara, & Milford, Michael (2015) Multi-scale place recognition with multi-scale sensing. In Li, H & Kim, J (Eds.) Proceedings of the Australasian Conference on Robotics and Automation 2015. Australian Robotics and Automation Association, Australia, pp. 1-10.

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Sergeant, James, Suenderhauf, Niko, Milford, Michael, & Upcroft, Ben (2015) Multimodal deep autoencoders for control of a mobile robot. In Li, H & Kim, J (Eds.) Proceedings of the Australasian Conference on Robotics and Automation 2015. Australian Robotics and Automation Association, Australia, pp. 1-10.

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Suenderhauf, Niko, Shirazi, Sareh, Dayoub, Feras, Upcroft, Ben, & Milford, Michael (2015) On the performance of ConvNet features for place recognition. In Burgard, W (Ed.) Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015). IEEE, United States of America, pp. 4297-4304.

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Jacobson, Adam, Chen, Zetao, & Milford, Michael (2015) Online place recognition calibration for out-of-the-box SLAM. In Burgard, W (Ed.) Proceedings of the 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2015). IEEE, United States of America, pp. 1357-1364.

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Suenderhauf, Niko, Shirazi, Sareh, Jacobson, Adam, Dayoub, Feras, Pepperell, Edward, Upcroft, Ben, et al. (2015) Place recognition with ConvNet landmarks: Viewpoint-robust, condition-robust, training-free. In Hsu, D (Ed.) Robotics: Science and Systems XI. Robotics: Science and Systems Conference, http://www.roboticsproceedings.org/, pp. 1-10.

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Glover, Arren, Pepperell, Edward, Wyeth, Gordon, Upcroft, Ben, & Milford, Michael (2015) Repeatable condition-invariant visual odometry for sequence-based place recognition. In Li, H & Kim, J (Eds.) Proceedings of the Australasian Conference on Robotics and Automation 2015. Australian Robotics and Automation Association, Australia, pp. 1-9.

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Milford, Michael, Lowry, Stephanie, Suenderhauf, Niko, Shirazi, Sareh, Pepperell, Edward, Upcroft, Ben, et al. (2015) Sequence searching with deep-learnt depth for condition-and viewpoint-invariant route-based place recognition. In Grauman, K, Torralba, A, Zisserman, A, & Learned-Miller, E (Eds.) Proceedings of the 2015 IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW 2015). IEEE, United States of America, pp. 18-25.

Suenderhauf, Niko, Dayoub, Feras, Mcmahon, Sean, Eich, Markus, Upcroft, Ben, & Milford, Michael (2015) SLAM - Quo Vadis? In support of object oriented and semantic SLAM. In Proceedings of the RSS 2015 Workshop - Problem of mobile sensors: Setting future goals and indicators of progress for SLAM. Australian Centre for Robotic Vision, http://ylatif.github.io/movingsensors/, pp. 1-7.

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Zhang, Fangyi, Leitner, Juergen, Milford, Michael, Upcroft, Ben, & Corke, Peter (2015) Towards vision-based deep reinforcement learning for robotic motion control. In Li, H & Kim, J (Eds.) Proceedings of the Australasian Conference on Robotics and Automation 2015. Australian Robotics and Automation Association, Australia, pp. 1-8.

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Mcmahon, Sean, Suenderhauf, Niko, Milford, Michael, & Upcroft, Ben (2015) TripNet: Detecting trip hazards on construction sites. In Li, H & Kim, J (Eds.) Proceedings of the Australasian Conference on Robotics and Automation 2015. Australian Robotics and Automation Association, Australia, pp. 388-397.

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Milford, Michael, Scheirer, Walter, Vig, Eleonora, Glover, Arren, Baumann, Oliver, Mattingley, Jason, et al. (2014) Condition-invariant, top-down visual place recognition. In Proceedings of the 2014 IEEE International Conference on Robotics and Automation (ICRA 2014). IEEE, United States of America, pp. 5571-5577.

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Pepperell, Edward, Corke, Peter, & Milford, Michael (2014) All-environment visual place recognition with SMART. In Tan, J & Hamel, W R (Eds.) Proceedings of the 2014 IEEE International Conference on Robotics and Automation (ICRA). IEEE, United States of America, pp. 1612-1618.

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Milford, Michael, Firn, Jennifer, Beattie, James, Jacobson, Adam, Pepperell, Edward, Mason, Eugene, et al. (2014) Automated sensory data alignment for environmental and epidermal change monitoring. In Chen, C (Ed.) Proceedings of the 16th Australasian Conference on Robotics and Automation 2014. Australian Robotics and Automation Association Inc., Australia, pp. 1-10.

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Berkvens, Rafael, Jacobson, Adam, Milford, Michael, Peremans, Herbert, & Weyn, Maarten (2014) Biologically inspired SLAM using Wi-Fi. In Sun, D, Neira, J, Parker, L, & Hutchinson, S (Eds.) Proceedings of the 2014 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE, United States of America, pp. 1804-1811.

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Chen, Zetao, Lam, Obadiah, Jacobson, Adam, & Milford, Michael (2014) Convolutional neural network-based place recognition. In Chen, C (Ed.) Proceedings of the 16th Australasian Conference on Robotics and Automation 2014. Australian Robotics and Automation Association Inc., Australia, pp. 1-8.

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Milford, Michael & George, Ashley (2014) Featureless visual processing for SLAM in changing outdoor environments. In Yoshida, K & Tadokoro, S (Eds.) Field and Service Robotics: Results of the 8th International Conference [Springer Tracts in Advanced Robotics, Volume 92]. Springer, Germany, pp. 569-583.

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Chen, Zetao, Jacobson, Adam, Erdem, Ugur, Hasselmo, Michael, & Milford, Michael (2014) Multi-scale bio-inspired place recognition. In Tan, J & Hamel, W R (Eds.) Proceedings of the 2014 IEEE International Conference on Robotics and Automation (ICRA 2014). IEEE, United States of America, pp. 1895-1901.

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Milford, Michael & Schulz, Ruth (2014) Principles of goal-directed spatial robot navigation in biomimetic models. Philosophical Transactions of the Royal Society B: Biological Sciences, 369(1655), Article number: 20130484 1-13.

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Lowry, Stephanie, Wyeth, Gordon, & Milford, Michael (2014) Towards training-free appearance-based localization: Probabilistic models for whole-image descriptors. In Tan, J & Hamel, W R (Eds.) Proceedings of the 2014 IEEE International Conference on Robotics and Automation (ICRA 2014). IEEE, United States of America, pp. 711-717.

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Pepperell, Edward, Corke, Peter, & Milford, Michael (2014) Towards vision-based pose- and condition-invariant place recognition along routes. In Chen, C (Ed.) Proceedings of the 16th Australasian Conference on Robotics and Automation 2014. Australian Robotics and Automation Association Inc., Australia, pp. 1-10.

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Lowry, Stephanie, Milford, Michael, & Wyeth, Gordon (2014) Transforming morning to afternoon using linear regression techniques. In Tan, J & Hamel, W R (Eds.) Proceedings of the 2014 IEEE International Conference on Robotics and Automation (ICRA 2014). IEEE, United States of America, pp. 3950-3955.

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Lowry, Stephanie, Wyeth, Gordon, & Milford, Michael (2014) Unsupervised online learning of condition-invariant images for place recognition. In Chen, C (Ed.) Proceedings of the 16th Australasian Conference on Robotics and Automation 2014. Australian Robotics and Automation Association Inc., Australia, pp. 1-8.

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Milford, Michael, Vig, Eleonora, Scheirer, Walter, & Cox, David (2014) Vision-based simultaneous localization and mapping in changing outdoor environments. Journal of Field Robotics, 31(5), pp. 780-802.

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Jacobson, Adam, Chen, Zetao, & Milford, Michael (2013) Autonomous movement-driven place recognition calibration for generic multi-sensor robot platforms. In Sugano, S & Kaneko, M (Eds.) Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, United States, pp. 1314-1320.

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Milford, Michael & Jacobson, Adam (2013) Brain-inspired sensor fusion for navigating robots. In Vincze, M (Ed.) Proceedings of the 2013 IEEE International Conference on Robotics and Automation (ICRA). Institute of Electrical and Electronic Engineers (IEEE), United States, pp. 2906-2913.

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Murphy, Liz, Morris, Timothy, Fabrizi, Ugo, Warren, Michael, Milford, Michael, Upcroft, Ben, et al. (2013) Experimental comparison of odometry approaches. In Desai, J P, Dudek, G, Kumar, V, & Khatib, O (Eds.) Experimental Robotics: The 13th International Symposium on Experimental Robotics [Springer Tracts in Advanced Robotics, Volume 88]. Springer, Switzerland, pp. 877-890.

Milford, Michael, Turner, Ian, & Corke, Peter (2013) Long exposure localization in darkness using consumer cameras. In Vincze, M (Ed.) Proceedings of the 2013 IEEE International Conference on Robotics and Automation (ICRA). Institute of Electrical and Electronic Engineers (IEEE), United States, pp. 3755-3761.

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Lowry, Stephanie, Wyeth, Gordon, & Milford, Michael (2013) Odometry-driven inference to link multiple exemplars of a location. In Sugano, S & Kaneko, M (Eds.) Proceedings of the 2013 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, United States, pp. 534-539.

Ball, David, Heath, Scott, Wiles, Janet, Wyeth, Gordon, Corke, Peter, & Milford, Michael (2013) OpenRatSLAM: an open source brain-based SLAM system. Autonomous Robots, 34(3), pp. 149-176.

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Chen, Zetao, Jacobson, Adam, Erdem, Ugur, Hasselmo, Michael, & Milford, Michael (2013) Towards bio-inspired place recognition over multiple spatial scales. In Eaton, R, Guivant, J, & Katupitiya, J (Eds.) Proceedings of the 2013 Australasian Conference on Robotics and Automation. Australasian Robotics and Automation Association (ARAA), Australia, pp. 1-9.

Milford, Michael, Vig, Eleonora, Scheirer, Walter, & Cox, David (2013) Towards condition-invariant, top-down visual place recognition. In Eaton, R, Guivant, J, & Katupitiya, J (Eds.) Proceedings of the 2013 Australasian Conference on Robotics and Automation. Australasian Robotics and Automation Association (ARAA), Australia, pp. 1-10.

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Pepperell, Edward, Corke, Peter, & Milford, Michael (2013) Towards persistent visual navigation using SMART. In Eaton, R, Guivant, J, & Katupitiya, J (Eds.) Proceedings of the 2013 Australasian Conference on Robotics and Automation. The Australian Robotics and Automation Association Inc. (ARAA), Australia, pp. 1-9.

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Lowry, Stephanie, Wyeth, Gordon, & Milford, Michael (2013) Training-free probability models for whole-image based place recognition. In Eaton, R, Guivant, J, & Katupitiya, J (Eds.) Proceedings of the 2013 Australasian Conference on Robotics and Automation. Australasian Robotics and Automation Association (ARAA), Australia, pp. 1-9.

Milford, Michael, Jacobson, Adam, & Wyeth, Gordon (2013) Using performance-based evaluation to close the loop between biological and robotic navigation. In Dillmann, R (Ed.) Workshops and Tutorials Proceedings of the International Conference on Robotics and Automation (ICRA 2013). IEEE, United States of America, pp. 1-4.

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Milford, Michael (2013) Vision-based place recognition: how low can you go? International Journal of Robotics Research, 32(7), pp. 766-789.

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Maddern, William, Milford, Michael, & Wyeth, Gordon (2012) Capping computation time and storage requirements for appearance-based localization with CAT-SLAM. In Oh, P, Tadokoro, S, Roumeliotis, S, & Kyriakopoulos, K (Eds.) Proceedings of the 2012 IEEE International Conference on Robotics and Automation. IEEE, United States, pp. 822-827.

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Lowry, Stephanie, Wyeth, Gordon, & Milford, Michael (2012) CAT-GRAPH+: Towards odometry-driven place consolidation in changing environments. In Browne, W & Carnegie, D (Eds.) Proceedings of the 2012 Australasian Conference on Robotics and Automation. The Australian Robotics and Automation Association, Australia, pp. 1-10.

Maddern, William, Milford, Michael, & Wyeth, Gordon (2012) CAT-SLAM: probabilistic localisation and mapping using a continuous appearance-based trajectory. International Journal of Robotics Research, 31(4), pp. 429-451.

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Williams, Henry, Browne, Will, & Milford, Michael (2012) Image region salience for improving appearance-based place recognition using a supervised classifier system. In Browne, W & Carnegie, D (Eds.) Proceedings of the 2012 Australasian Conference on Robotics and Automation. The Australian Robotics and Automation Association, Australia, pp. 1-10.

Cheung, Allen, Ball, David, Milford, Michael, Wyeth, Gordon, & Wiles, Janet (2012) Maintaining a cognitive map in darkness: The need to fuse boundary knowledge with path integration. PLoS Computational Biology, 8(8), pp. 1-22.

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Glover, Arren, Maddern, William, Warren, Michael, Reid, Stephanie, Milford, Michael, & Wyeth, Gordon (2012) OpenFABMAP: An open source toolbox for appearance-based loop closure detection. In Oh, P, Tadokoro, S, Roumeliotis, S, & Kyriakopoulos, K (Eds.) Proceedings of the 2012 IEEE International Conference on Robotics and Automation. IEEE, United States, pp. 4730-4735.

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Milford, Michael & Wyeth, Gordon (2012) SeqSLAM: Visual route-based navigation for sunny summer days and stormy winter nights. In Oh, P, Tadokoro, S, Roumeliotis, S, & Kyriakopoulos, K (Eds.) Proceedings of the 2012 IEEE International Conference on Robotics and Automation. IEEE, United States, pp. 1643-1649.

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Maddern, William, Milford, Michael, & Wyeth, Gordon (2012) Towards persistent indoor appearance-based localization, mapping and navigation using CAT-Graph. In Guglielmelli, E (Ed.) Proceedings of the 2012 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, United States of America, pp. 4224-4230.

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Maddern, William, Milford, Michael, & Wyeth, Gordon (2012) Towards persistent localization and mapping with a continuous appearance-based topology. In Roy, Nicholas, Newman, Paul, & Srinivasa, Siddhartha (Eds.) Robotics: Science and Systems VIII - Proceedings of the 8th Robotics: Science and Systems Conference. University of Sydney, Australia, pp. 281-288.

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Milford, Michael (2012) Visual route recognition with a handful of bits. In Roy, Nicholas, Newman, Paul, & Srinivasa, Siddhartha (Eds.) Robotics: Science and Systems VIII - Proceedings of the 8th Robotics: Science and Systems Conference. University of Sydney, Australia, pp. 297-304.

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Milford, Michael, Schill, Felix, Corke, Peter, Mahony, Robert, & Wyeth, Gordon (2011) Aerial SLAM with a single camera using visual expectation. In Wang, Z, Zheng, Y F, & Zhang, J (Eds.) Proceedings of the 2011 IEEE International Conference on Robotics and Automation. IEEE, United States, pp. 2506-2512.

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Maddern, William, Milford, Michael, & Wyeth, Gordon (2011) Continuous appearance-based trajectory SLAM. In Wang, Z, Zheng, Y F, & Zhang, J (Eds.) Proceedings of the 2011 IEEE International Conference on Robotics and Automation. IEEE, United States, pp. 3595-3600.

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Milford, Michael, McKinnon, David, Warren, Michael, Wyeth, Gordon, & Upcroft, Ben (2011) Feature-based visual odometry and featureless place recognition for SLAM in 2.5D environments. In Ho Li, W (Ed.) Proceedings of the 13th Australasian Conference on Robotics and Automation (ACRA) 2011. Australian Robotics & Automation Association, Australia, pp. 1-8.

Schulz, Ruth, Glover, Arren, Milford, Michael, Wyeth, Gordon, & Wiles, Janet (2011) Lingodroids: Studies in spatial cognition and language. In Wang, Z, Zheng, Y F, & Zhang, J (Eds.) Proceedings of the 2011 IEEE International Conference on Robotics and Automation. IEEE, United States, pp. 178-183.

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Nolan, Christopher, Wyeth, Gordon, Milford, Michael, & Wiles, Janet (2011) The race to learn: Spike timing and STDP can coordinate learning and recall in CA3. Hippocampus, 21(6), pp. 647-660.

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Wyeth, Gordon, Milford, Michael, Schulz, Ruth, & Wiles, Janet (2011) The RatSLAM project: robot spatial navigation. In Krichmar, J & Wagatsuma, H (Eds.) Neuromorphic and Brain-Based Robots. Cambridge University Press, United States, pp. 87-108.

Milford, Michael (2011) Towards condition-invariant sequence-based route recognition. In Ho Li, W (Ed.) Proceedings of the 2011 Australasian Conference on Robotics and Automation (ACRA 2011). Australian Robotics & Automation Association, Australia, pp. 1-8.

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Wyeth, Gordon & Milford, Michael (2011) Towards lifelong navigation and mapping in an office environment. In Siegwart, R, Pradalier, C, & Hirzinger, G (Eds.) Robotics Research: The 14th International Symposium ISRR [Springer Tracts in Advanced Robotics, Volume 70]. Springer, Germany, pp. 589-603.

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Milford, Michael, Maddern, William, & Wyeth, Gordon (2011) A two week persistent navigation and mapping experiment using RatSLAM: Insights and current developments. In Sibley, G, Gerkey, B, & Newman, P (Eds.) Proceedings of the 2011 IEEE International Conference on Robotics and Automation: Workshop on Long-term Autonomy. IEEE, United States, pp. 1-7.

Stratton, Peter, Milford, Michael, Wyeth, Gordon, & Wiles, Janet (2011) Using strategic movement to calibrate a neural compass: A spiking network for tracking head direction in rats and robots. PLoS One, 6(10), pp. 1-15.

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Glover, Arren, Maddern, Will, Milford, Michael, & Wyeth, Gordon (2010) FAB-MAP + RatSLAM: Appearance-based SLAM for multiple times of day. In Kumar, V (Ed.) Proceedings of the 2010 IEEE International Conference on Robotics and Automation. IEEE, United States, pp. 3507-3512.

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Milford, Michael & Wyeth, Gordon (2010) Hybrid robot control and SLAM for persistent navigation and mapping. Robotics and Autonomous Systems, 58(9), pp. 1096-1104.

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Milford, Michael & Wyeth, Gordon (2010) Improving recall in appearance-based visual SLAM using visual expectation. In Wyeth, G & Upcroft, B (Eds.) Proceedings of the 2010 Australasian Conference on Robotics and Automation. Australian Robotics & Automation Association, Australia, pp. 1-9.

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Maddern, William, Milford, Michael, & Wyeth, Gordon (2010) Loop closure detection on a suburban road network using a continuous appearance-based trajectory. In Wyeth, G & Upcroft, B (Eds.) Proceedings of the 2010 Australasian Conference on Robotics and Automation. Australian Robotics & Automation Association, Australia, pp. 1-10.

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Ball, David, Heath, Scott, Milford, Michael, Wyeth, Gordon, & Wiles, Janet (2010) A navigating rat animat. In Dorr, M, Stoy, K, Maurer, S, Merkle, D, Monard, P, Hanczyc, M M, et al. (Eds.) Proceedings of the 12th International Conference on the Synthesis and Simulation of Living Systems. MIT Press, United States, pp. 804-811.

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Milford, Michael, Wiles, Janet, & Wyeth, Gordon (2010) Solving navigational uncertainty using grid cells on robots. PLoS Computational Biology, 6(11), pp. 1-14.

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Maddern, Will, Glover, Arren, Milford, Michael, & Wyeth, Gordon (2009) Augmenting RatSLAM using FAB-MAP-based visual data association. In Scheding, S (Ed.) Proceedings of the 2009 Australasian Conference on Robotics and Automation. Australian Robotics & Automation Association, Australia, pp. 1-8.

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Stratton, Peter, Milford, Michael, Wiles, Janet, & Wyeth, Gordon (2009) Automatic calibration of a spiking head-direction network for representing robot orientation. In Scheding, S (Ed.) Proceedings of the 2009 Australasian Conference on Robotics and Automation. Australian Robotics & Automation Association, Australia, pp. 1-8.

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Oates, Robert, Milford, Michael, Wyeth, Gordon, Kendall, Graham, & Garibaldi, Jonathan (2009) The implementation of a novel, bio-inspired, robotic security system. In Ikeuchi, K (Ed.) Proceedings of the 2009 IEEE International Conference on Robotics and Automation. IEEE, United States, pp. 1875-1880.

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Wyeth, Gordon & Milford, Michael (2009) Spatial Cognition for Robots- Robot Navigation from Biological Inspiration. IEEE Robotics and Automation Magazine, 16(3), pp. 24-32.

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Milford, Michael John (2008) Discussion. In Milford, Michael John (Ed.) Robot Navigation from Nature: Simultaneous Localisation, Mapping, and Path Planning based on Hippocampal Models. Springer, New York, pp. 163-171.

Milford, Michael John (2008) Extending RatSLAM: The experience mapping algorithm. In Milford, Michael John (Ed.) Robot Navigation from Nature: Simultaneous Localisation, Mapping, and Path Planning based on Hippocampal Models. pp. 129-143.

Milford, Michael John (2008) Goal memory: A pilot study. In Milford, Michael John (Ed.) Robot Navigation from Nature: Simultaneous Localisation, Mapping, and Path Planning based on Hippocampal Models. Springer, pp. 117-128.

Milford, Michael John (2008) RatSLAM: An extended hippocampal model. In Milford, Michael John (Ed.) Robot Navigation from Nature: Simultaneous Localisation, Mapping, and Path Planning based on Hippocampal Models. Springer, United States of America, pp. 87-116.

Milford, Michael (2008) From rats to robots: Engineering a functional biomimetic navigation system. Journal and Proceedings - Royal Society of New South Wales, 141(1-2), pp. 1-23.

Milford, Michael & Wyeth, Gordon (2008) Mapping a suburb with a single camera using a biologically inspired SLAM system. IEEE Transactions on Robotics, 24(5), pp. 1038-1053.

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Milford, Michael & Wyeth, Gordon (2008) Single camera vision-only SLAM on a suburban road network. In Schaal, S & Sukhatme, G S (Eds.) Proceedings of the 2008 IEEE International Conference on Robotics and Automation. IEEE, United States, pp. 3684-3689.

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Milford, Michael & Wyeth, Gordon (2007) Featureless vehicle-based visual SLAM with a consumer camera. In Dunbabin, M & Srinivasan, M (Eds.) Proceedings of the 2007 Australasian Conference on Robotics and Automation. Australian Robotics and Automation Association, Australia, pp. 1-8.

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Milford, Michael, Schulz, Ruth, Prasser, David, Wyeth, Gordon, & Wiles, Janet (2007) Learning spatial concepts from RatSLAM representations. Robotics and Autonomous Systems, 55(5), pp. 403-410.

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Milford, Michael & Wyeth, Gordon (2007) Spatial mapping and map exploitation: A bio-inspired engineering perspective. Lecture Notes in Computer Science, 4736, Article number: COSIT 2007 203-221.

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Milford, Michael, Prasser, David, & Wyeth, Gordon (2006) Effect of representation size and visual ambiguity on RatSLAM system performance. In MacDonald, B (Ed.) Proceedings of the 2006 Australasian Conference on Robotics and Automation. Australian Robotics and Automation Association, Australia, pp. 1-8.

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Prasser, David, Milford, Michael, & Wyeth, Gordon (2006) Outdoor simultaneous localisation and mapping using RatSLAM. In Corke, P & Sukkarieh, S (Eds.) Field and Service Robotics: Results of the 5th International Conference. Springer, Germany, pp. 143-154.

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Milford, Michael, Wyeth, Gordon, & Prasser, David (2006) RatSLAM on the edge: Revealing a coherent representation from an overloaded rat brain. In 2006 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2006-10-09 - 2006-10-15.

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Milford, Michael, Wyeth, Gordon, & Prasser, David (2005) Efficient goal directed navigation using RatSLAM. In Dillmann, R (Ed.) Proceedings of the 2005 International Conference on Robotics and Automation. IEEE, United States of America, pp. 1097-1102.

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Milford, Michael, Prasser, David, & Wyeth, Gordon (2005) Experience mapping: Producing spatially continuous environment representations using RatSLAM. In Sammut, C (Ed.) Proceedings of the 2005 Australasian Conference on Robotics and Automation. Australian Robotics and Automation Association Inc., Australia, pp. 1-10.

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Emami, Shervin, Wyeth, Gordon, Milford, Michael, & Prasser, David (2005) Framework for the long-term operation of a mobile robot via the internet. In Sammut, C (Ed.) Proceedings of the 2005 Australasian Conference on Robotics and Automation. Australian Robotics and Automation Association Inc., Australia, pp. 1-10.

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Prasser, David, Wyeth, Gordon, & Milford, Michael (2004) Biologically inspired visual landmark processing for simultaneous localization and mapping. In Asama, H (Ed.) Proceedings of the 2004 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE, United States of America, pp. 730-735.

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Prasser, David, Wyeth, Gordon, Milford, Michael, Roberts, Jonathan, & Usher, Kane (2004) Experiments in outdoor operation of RatSLAM. In Barnes, N & Austin, D (Eds.) Proceedings of the 2004 Australasian Conference on Robotics and Automation. Australian Robotics and Automation Association Inc., Australia, pp. 1-6.

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Hu, Wenyan, Downs, Tom, Wyeth, Gordon, Milford, Michael, & Prasser, David (2004) A modified particle filter for simultaneous robot localization and landmark tracking in an indoor environment. In Barnes, N & Austin, D (Eds.) Proceedings of the 2004 Australasian Conference on Robotics and Automation. Australian Robotics and Automation Association Inc., Australia, pp. 1-7.

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Milford, Michael, Wyeth, Gordon, & Prasser, David (2004) RatSLAM: a hippocampal model for simultaneous localization and mapping. In Valavanis, K (Ed.) Proceedings of the 2004 IEEE International Conference on Robotics and Automation. IEEE, United States of America, pp. 403-408.

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