VRSO: Visual-Centric Reconstruction for Static Object Annotation

arXiv:2403.15026v1 Announce Type: new
Abstract: As a part of the perception results of intelligent driving systems, static object detection (SOD) in 3D space provides crucial cues for driving environment understanding. With the rapid deployment of deep neural networks for SOD tasks, the demand for high-quality training samples soars. The traditional, also reliable, way is manual labeling over the dense LiDAR point clouds and reference images. Though most public driving datasets adopt this strategy to provide SOD ground truth (GT), it …

annotation arxiv cs.cv object type visual