DPFT: Dual Perspective Fusion Transformer for Camera-Radar-based Object Detection

arXiv:2404.03015v1 Announce Type: new
Abstract: The perception of autonomous vehicles has to be efficient, robust, and cost-effective. However, cameras are not robust against severe weather conditions, lidar sensors are expensive, and the performance of radar-based perception is still inferior to the others. Camera-radar fusion methods have been proposed to address this issue, but these are constrained by the typical sparsity of radar point clouds and often designed for radars without elevation information. We propose a novel camera-radar fusion approach called …

arxiv cs.cv detection fusion object perspective radar transformer type