Robot-centric elevation mapping with uncertainty estimates

This paper addresses the local terrain mapping process for an autonomous robot. Building upon an onboard range measurement sensor and an existing robot pose estimation, we formulate a novel elevation mapping method from a robot-centric perspective. This formulation can explicitly handle drift of the robot pose estimation which occurs for many autonomous robots. Our mapping approach fully incorporates the distance sensor measurement uncertainties and the six-dimensional pose covariance of the robot. We introduce a computationally efficient formulation of the map fusion process, which allows for mapping a terrain at high update rates. Finally, our approach is demonstrated on a quadrupedal robot walking over obstacles.


Presented at:
17th International Conference on Climbing and Walking Robots, Poznan University of Technology, Poznań, Poland, July 21-23, 2014
Year:
2014
Keywords:
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 Record created 2014-05-12, last modified 2018-06-27

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