Cross-Domain Spatial Matching for Camera and Radar Sensor Data Fusion in Autonomous Vehicle Perception System

arXiv:2404.16548v1 Announce Type: new
Abstract: In this paper, we propose a novel approach to address the problem of camera and radar sensor fusion for 3D object detection in autonomous vehicle perception systems. Our approach builds on recent advances in deep learning and leverages the strengths of both sensors to improve object detection performance. Precisely, we extract 2D features from camera images using a state-of-the-art deep learning architecture and then apply a novel Cross-Domain Spatial Matching (CDSM) transformation method to convert …

3d object 3d object detection abstract advances arxiv autonomous autonomous vehicle cs.cv data deep learning detection domain fusion novel object paper perception radar sensor spatial systems type