Recent machine learning-based multi-object tracking (MOT) frameworks are becoming popular for 3-D point clouds. Most traditional tracking approaches use filters (e.g., Kalman filter or particle filter ...

Astronomers have discovered a new interstellar comet passing through our solar system, marking the third interstellar object ...

In recent years, with the advancement of artificial intelligence technology, autonomous driving technologies have gradually emerged. 3D object detection using point clouds has become a key in this ...

Abstract Point cloud-based 3D object detection is a key technology in autonomous driving and mobile robot perception systems. However, the sparsity and irregularity of point cloud data result in poor ...

The OP is utilized to orient and scale the point cloud of the rock sample. Additionally, the OP contains twelve checkpoints (CPs). The discrepancy between the point cloud coordinates of these ...

This study aims to summarize and refine existing approaches to facilitate researchers in gaining a deeper and more efficient understanding of object detection algorithms that integrate images and ...

Complex-YOLO solves the problem of point cloud disorder and sparsity by projecting it onto the bird’s-eye view and realizes real-time 3D object detection based on LiDAR. However, Complex-YOLO has no ...