MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences
MoDAR: Using Motion Forecasting for 3D Object Detection in Point Cloud Sequences
Occluded and long-range objects are ubiquitous and challenging for 3D object detection. Point cloud sequence data provide unique opportunities to improve such cases, as an occluded or distant object can be observed from different viewpoints or gets better visibility over time. However, the efficiency and effectiveness in encoding longterm sequence …