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arXiv:1705.04085cs.CV

Automatic Extrinsic Calibration for Lidar-Stereo Vehicle Sensor Setups

Carlos Guindel, Jorge Beltrán, David Martín, Fernando García

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Abstract

Sensor setups consisting of a combination of 3D range scanner lasers and stereo vision systems are becoming a popular choice for on-board perception systems in vehicles; however, the combined use of both sources of information implies a tedious calibration process. We present a method for extrinsic calibration of lidar-stereo camera pairs without user intervention. Our calibration approach is aimed to cope with the constraints commonly found in automotive setups, such as low-resolution and specific sensor poses. To demonstrate the performance of our method, we also introduce a novel approach for the quantitative assessment of the calibration results, based on a simulation environment. Tests using real devices have been conducted as well, proving the usability of the system and the improvement over the existing approaches. Code is available at http://wiki.ros.org/velo2cam_calibration

arXiv comments
Accepted to IEEE International Conference on Intelligent Transportation Systems 2017 (ITSC)
Journal reference
DOI
Subjects
cs.CVComputer Vision and Pattern Recognition cs.RORobotics

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Linked by 1 identifiable commenter in 1 comment across 1 thread, from Oct 2017 to Oct 2017. Found in 1 HN submission from Oct 2017 to Oct 2017. Open submission discussions.

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