IEEE

Pseudo-LiDAR With Two-Dimensional Instance for Monocular Three-Dimensional Object Tracking

Abstract: Establishing a framework capable of performing 3D object tracking is crucial for various applications, such as autonomous driving and robot navigation. Monocular cameras offer economic and ...
IEEE

BEVFusion With Dual Hard Instance Probing for Multimodal 3D Object Detection

Abstract: False negatives (FN) in 3D object detection, which occur when small, distant, or hidden objects are missed, pose significant safety risks in autonomous driving systems. Recent multi-modal ...
GitHub

RaGS: Semantics and Geometry Fusion for 3D Object Detection Using 4D Radar and Camera

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 ...
Frontiers

Deep learning methods for 3D tracking of fish in challenging underwater conditions for future perception in autonomous underwater vehicles

Figure 1. Experimental setup showing the center structure (left) carrying the stereo video system and the Ping360 sonar, the six different shape (small cylinder, cube, and big cylinder) and color ...