Scalable Vision-Based 3D Object Detection and Monocular Depth Estimation for Autonomous Driving

arXiv:2403.02037v1 Announce Type: new
Abstract: This dissertation is a multifaceted contribution to the advancement of vision-based 3D perception technologies. In the first segment, the thesis introduces structural enhancements to both monocular and stereo 3D object detection algorithms. By integrating ground-referenced geometric priors into monocular detection models, this research achieves unparalleled accuracy in benchmark evaluations for monocular 3D detection. Concurrently, the work refines stereo 3D detection paradigms by incorporating insights and inferential structures gleaned from monocular networks, thereby augmenting the operational …

3d object 3d object detection abstract advancement algorithms arxiv autonomous autonomous driving cs.cv cs.ro detection driving perception research scalable segment technologies thesis type vision