SOURCE-LINKED INTELLIGENCE
Image Frame Dynamic Object Segmentation and Ego Motion Estimation using Radar Image Fusion
Dynamic object segmentation and ego-motion estimation are closely coupled problems in autonomous driving, as accurate ego-motion estimation typically requires static scene observations, while identifying static observations requires knowledge of the ego motion. We present Radar-Dot, a radar--RGB framework that exploits radar Doppler measurements to address this coupling. Radar returns are first used to estimate ego velocity through a linear Doppler constraint, with residual-based static/dynamic segmentation and robust estimation used to reduce the influence of moving objects. The estimated mot
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-19T07:54:09.000Z
First collected: 2026-09-23T12:01:45.602Z. This is not the publication date.