60 citations · 117 across the 4 of their papers we have counts for
4 papers
Multimotion Visual Odometry (MVO)
Kevin M. Judd, Jonathan D. Gammell
Visual motion estimation is a well-studied challenge in autonomous navigation. Recent work has focused on addressing multimotion estimation in highly dynamic environments. These en…
Occlusion-Robust MVO: Multimotion Estimation Through Occlusion Via Motion Closure
Kevin M. Judd, Jonathan D. Gammell
Visual motion estimation is an integral and well-studied challenge in autonomous navigation. Recent work has focused on addressing multimotion estimation, which is especially chall…
The Oxford Multimotion Dataset: Multiple SE(3) Motions with Ground Truth
Kevin M. Judd, Jonathan D. Gammell
Datasets advance research by posing challenging new problems and providing standardized methods of algorithm comparison. High-quality datasets exist for many important problems in…
Multimotion Visual Odometry (MVO): Simultaneous Estimation of Camera and Third-Party Motions
Kevin M. Judd, Jonathan D. Gammell, Paul Newman
Estimating motion from images is a well-studied problem in computer vision and robotics. Previous work has developed techniques to estimate the motion of a moving camera in a large…