Large scale monocular vision-only mapping from a fixed-wing sUAS
Warren, Michael, McKinnon, David, He, Hu, Glover, Arren, Shiel, Michael, & Upcroft, Ben (2012) Large scale monocular vision-only mapping from a fixed-wing sUAS. In 8th International Conference on Field and Service Robotics, 16-19 July 2012, Matsushima, Japan. (In Press)
This paper presents the application of a monocular visual SLAMon a fixed-wing small Unmanned Aerial System (sUAS) capable of simultaneous estimation of aircraft pose and scene structure. We demonstrate the robustness of unconstrained vision alone in producing reliable pose estimates of a sUAS, at altitude. It is ultimately capable of online state estimation feedback for aircraft control and next-best-view estimation for complete map coverage without the use of additional sensors.We explore some of the challenges of visual SLAM from a sUAS including dealing with planar structure, distant scenes and noisy observations. The developed techniques are applied on vision data gathered from a fast-moving fixed-wing radio control aircraft flown over a 1×1km rural area at an altitude of 20-100m.We present both raw Structure from Motion results and a SLAM solution that includes FAB-MAP based loop-closures and graph-optimised pose. Timing information is also presented to demonstrate near online capabilities. We compare the accuracy of the 6-DOF pose estimates to an off-the-shelfGPS aided INS over a 1.7kmtrajectory.We also present output 3D reconstructions of the observed scene structure and texture that demonstrates future applications in autonomous monitoring and surveying.
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|Item Type:||Conference Paper|
|Additional Information:||Proceedings under construction http://www.astro.mech.tohoku.ac.jp/FSR2012/Proceedings.html|
|Keywords:||Computer Vision, UAV, Visual Odometry, Pose Estimation, Structure from Motion|
|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 > Schools > School of Electrical Engineering & Computer Science|
Current > QUT Faculties and Divisions > Science & Engineering Faculty
|Copyright Owner:||Copyright 2012 [please consult the author]|
|Deposited On:||16 Aug 2012 13:44|
|Last Modified:||19 May 2013 14:41|
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