Sparse Points to Dense Clouds: Enhancing 3D Detection with Limited LiDAR Data

arXiv:2404.06715v1 Announce Type: new
Abstract: 3D detection is a critical task that enables machines to identify and locate objects in three-dimensional space. It has a broad range of applications in several fields, including autonomous driving, robotics and augmented reality. Monocular 3D detection is attractive as it requires only a single camera, however, it lacks the accuracy and robustness required for real world applications. High resolution LiDAR on the other hand, can be expensive and lead to interference problems in heavy …

abstract applications arxiv augmented reality autonomous autonomous driving cs.cv data detection driving fields identify lidar machines objects reality robotics space three-dimensional type