FlowFusion: Dynamic Dense RGB-D SLAM Based on Optical Flow
Tianwei Zhang,Huayan Zhang,Yang Li,Yoshihiko Nakamura,Lei Zhang,Tianwei Zhang,Huayan Zhang,Yang Li,Yoshihiko Nakamura,Lei Zhang
Dynamic environments are challenging for visual SLAM since the moving objects occlude the static environment features and lead to wrong camera motion estimation. In this paper, we present a novel dense RGB-D SLAM solution that simultaneously accomplishes the dynamic/static segmentation and camera ego-motion estimation as well as the static background reconstructions. Our novelty is using optical f...
