A White-Noise-On-Jerk Motion Prior for Continuous-Time Trajectory Estimation on SE(3)
September 18, 2018 Β· Declared Dead Β· π IEEE Robotics and Automation Letters
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Authors
Tim Y. Tang, David J. Yoon, Timothy D. Barfoot
arXiv ID
1809.06518
Category
cs.RO: Robotics
Citations
47
Venue
IEEE Robotics and Automation Letters
Last Checked
6 months ago
Abstract
Simultaneous trajectory estimation and mapping (STEAM) offers an efficient approach to continuous-time trajectory estimation, by representing the trajectory as a Gaussian process (GP). Previous formulations of the STEAM framework use a GP prior that assumes white-noise-on-acceleration, with the prior mean encouraging constant body-centric velocity. We show that such a prior cannot sufficiently represent trajectory sections with non-zero acceleration, resulting in a bias to the posterior estimates. This paper derives a novel motion prior that assumes white-noise-on-jerk, where the prior mean encourages constant body-centric acceleration. With the new prior, we formulate a variation of STEAM that estimates the pose, body-centric velocity, and body-centric acceleration. By evaluating across several datasets, we show that the new prior greatly outperforms the white-noise-on-acceleration prior in terms of solution accuracy.
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