Browse By Person: Jacobson, Adam

Fan, Chen, Jacobson, Adam, Chen, Zetao, He, Xiaofeng, Zhang, Lilian, Hu, Xiaoping, & Milford, Michael (2022) Bio-inspired Multi-scale Visual Place Recognition for the Aerial Vehicle Navigation. In Yan, Liang, Duan, Haibin, & Yu, Xiang (Eds.) Advances in Guidance, Navigation and Control: Proceedings of 2020 International Conference on Guidance, Navigation and Control, ICGNC 2020, Tianjin, China, October 23-25, 2020. Springer, Singapore, pp. 1039-1049.

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Jacobson, Adam, Zeng, Fan, Smith, David, Boswell, Nigel, Peynot, Thierry, & Milford, Michael (2021) What localizes beneath: A metric multisensor localization and mapping system for autonomous underground mining vehicles. Journal of Field Robotics, 38(1), pp. 5-27.

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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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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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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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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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Suddrey, Gavin, Jacobson, Adam, & Ward, Belinda (2018) Enabling a Pepper Robot to provide Automated and Interactive Tours of a Robotics Laboratory. In Proceedings of the Australasian Conference on Robotics and Automation (ACRA 2018). Australian Robotics and Automation Association (ARAA), Australia.

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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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Jacobson, Adam (2018) Bio-inspired multi-sensor fusion and calibration for robot place learning and recognition. PhD by Publication, Queensland University of Technology.

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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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Jacobson, Adam, Chen, Zetao, & Milford, Michael (2018) Leveraging variable sensor spatial acuity with a homogeneous, multi-scale place recognition framework. Biological Cybernetics, 112(3), pp. 209-225.

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Yu, Litao, Jacobson, Adam, & Milford, Michael (2018) Rhythmic representations: Learning periodic patterns for scalable place recognition at a sublinear storage cost. IEEE Robotics and Automation Letters, 3(2), pp. 811-818.

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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. Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 3970-3977.

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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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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, Reid, Ian, & Milford, Michael (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). Institute of Electrical and Electronics Engineers Inc., 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). Institute of Electrical and Electronics Engineers Inc., 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). Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 6863-6870.

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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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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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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). Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 2556-2563.

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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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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). Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 1357-1364.

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Suenderhauf, Niko, Shirazi, Sareh, Jacobson, Adam, Dayoub, Feras, Pepperell, Edward, Upcroft, Ben, & Milford, Michael (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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Milford, Michael, Firn, Jennifer, Beattie, James, Jacobson, Adam, Pepperell, Edward, Mason, Eugene, Kimlin, Michael, & Dunbabin, Matthew (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 (ARAA), 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). Institute of Electrical and Electronics Engineers Inc., 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 (ARAA), Australia, pp. 1-8.

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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). Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 1895-1901.

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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. Institute of Electrical and Electronics Engineers Inc., 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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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. Australian Robotics and Automation Association (ARAA), Australia, pp. 1-9.

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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). Institute of Electrical and Electronics Engineers Inc., United States of America, pp. 1-4.

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Jacobson, Adam & Milford, Michael (2012) Towards brain-based sensor fusion for navigating robots. 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.

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