English

Direct Sparse Odometry with Rolling Shutter

Computer Vision and Pattern Recognition 2020-06-18 v1

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.

Keywords

Cite

@article{arxiv.1808.00558,
  title  = {Direct Sparse Odometry with Rolling Shutter},
  author = {David Schubert and Nikolaus Demmel and Vladyslav Usenko and Jörg Stückler and Daniel Cremers},
  journal= {arXiv preprint arXiv:1808.00558},
  year   = {2020}
}
R2 v1 2026-06-23T03:22:10.958Z