ECCV 2018poster56 citations

Direct Sparse Odometry With Rolling Shutter

David Schubert, Nikolaus Demmel, Vladyslav Usenko, Jorg Stuckler, Daniel Cremers

Abstract

Neglecting the effects of rolling-shutter cameras for visual odometry (VO) severely degrades accuracy and robustness. In this paper, we propose a novel direct monocular VO method that incorporates a rolling-shutter model. Our approach extends direct sparse odometry which performs direct bundle adjustment of a set of recent keyframe poses and the depths of a sparse set of image points. We estimate the velocity at each keyframe and impose a constant-velocity prior for the optimization. In this way, we obtain a near real-time, accurate direct VO method. Our approach achieves improved results on challenging rolling-shutter sequences over state-of-the-art global-shutter VO.

BibTeX
@inproceedings{eccv2018_directsparseodom,
  title = {Direct Sparse Odometry With Rolling Shutter},
  author = {David Schubert and Nikolaus Demmel and Vladyslav Usenko and Jorg Stuckler and Daniel Cremers},
  booktitle = {ECCV 2018},
  year = {2018}
}
Direct Sparse Odometry With Rolling Shutter · ECCV 2018