Unaided stereo vision based pose estimation
Warren, Michael, McKinnon, David, He, Hu, & Upcroft, Ben (2010) Unaided stereo vision based pose estimation. In Australasian Conference on Robotics and Automation (ACRA 2010), 1-3 December 2010, Brisbane, Queensland.
This paper presents the development of a low-cost sensor platform for use in ground-based visual pose estimation and scene mapping tasks. We seek to develop a technical solution using low-cost vision hardware that allows us to accurately estimate robot position for SLAM tasks. We present results from the application of a vision based pose estimation technique to simultaneously determine camera poses and scene structure. The results are generated from a dataset gathered traversing a local road at the St Lucia Campus of the University of Queensland. We show the accuracy of the pose estimation over a 1.6km trajectory in relation to GPS ground truth.
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|Item Type:||Conference Paper|
|Keywords:||Stereo Vision, Vision, Pose Estimation, Bundle Adjustment|
|Subjects:||Australian and New Zealand Standard Research Classification > INFORMATION AND COMPUTING SCIENCES (080000) > ARTIFICIAL INTELLIGENCE AND IMAGE PROCESSING (080100) > Adaptive Agents and Intelligent Robotics (080101)|
|Divisions:||Current > Research Centres > Australasian CRC for Interaction Design (ACID)|
|Copyright Owner:||Copyright 2010 Please consult the authors.|
|Deposited On:||09 Feb 2011 01:49|
|Last Modified:||29 Feb 2012 14:33|
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