Bridging the View Disparity of Radar and Camera Features for Multi-modal Fusion 3D Object Detection. (arXiv:2208.12079v1 [cs.CV])

Environmental perception with multi-modal fusion of radar and camera is
crucial in autonomous driving to increase the accuracy, completeness, and
robustness. This paper focuses on how to utilize millimeter-wave (MMW) radar
and camera sensor fusion for 3D object detection. A novel method which realizes
the feature-level fusion under bird-eye view (BEV) for a better feature
representation is proposed. Firstly, radar features are augmented with temporal
accumulation and sent to a temporal-spatial encoder for radar feature
extraction. Meanwhile, multi-scale image 2D …

3d arxiv cv detection features fusion radar