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 ...
Creating realistic and accurately scaled 3D environments is essential for training and evaluating embodied AI. However, current methods still rely on manually designed 3D graphics, which are costly ...
This repository represents the official implementation of the paper titled "DepthFusion: Depth-Aware Hybrid Feature Fusion for LiDAR-Camera 3D Object Detection". We propose a novel depth encoding ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback