4D millimeter-wave radar has emerged as a promising sensor for autonomous driving, but effective 3D object detection from both 4D radar and monocular images remains a challenge. Existing fusion ...

What if the physical world could be captured with such precision that it became indistinguishable from its digital counterpart? This is the bold ambition driving the collaboration between Microsoft ...

Abstract: Recent years have witnessed the remarkable progress of 3D multi-modality object detection methods based on the Bird's-Eye-View (BEV) perspective. However, most of them overlook the ...

Abstract: 3D object detection has achieved significant progress in outdoor LiDAR point clouds, however, the inherent irregularity and varying sparsity distribution of point occupancy present a key ...

Introduction 3D multi-object tracking (MOT) is an essential component technology for many real-time applications such as autonomous driving or assistive robotics. However, recent works for 3D MOT tend ...

Apple’s Machine Learning team, in collaboration with researchers from Nanjing University and The Hong Kong University of Science and Technology, has announced an interesting 3D AI model called ...