Lingdong Kong

Research aims to improve machine interpretation of 3D environments for safety.

A new method boosts LiDAR systems to enhance safety in self-driving cars.

M3Net enhances LiDAR segmentation for self-driving cars by integrating diverse datasets and sensors.

OpenESS enhances event-based cameras for precise scene understanding and recognition.

Combining LiDAR and camera data to improve self-driving technology efficiency.

Teams worldwide enhance self-driving car technology in challenging conditions.

A new toolbox improves LiDAR segmentation for safer self-driving cars.

Introducing RoboBEV to test BEV algorithms under real-world conditions.

This study evaluates how HD map methods perform under adverse conditions.

SuperFlow enhances 3D perception models using LiDAR and camera data for autonomous driving.

Event cameras present a game-changing approach for fast object detection.

GEAL enhances robots' understanding of object use through innovative learning techniques.