3 accepted papers
Real-time 3D reconstruction is becoming a key enabler for robotics, mixed reality, and autonomous vehicles. Recent advances in 3D Gaussian Splatting (3DGS) have enabled high-fidelity volumetric modeling, and their integration with SLAM shows strong potential for real-time deployment. However, the su
Sensor fusion of camera, LiDAR, and 4-dimensional (4D) Radar has brought a significant performance improvement in autonomous driving. However, there still exist fundamental challenges: deeply coupled fusion methods assume continuous sensor availability, making them vulnerable to sensor degradation a…
Unlike RGB cameras that use visible light bands (384∼769 THz) and Lidars that use infrared bands (361∼331 THz), Radars use relatively longer wavelength radio bands (77∼81 GHz), resulting in robust measurements in adverse weathers. Unfortunately, existing Radar datasets only contain a relatively smal…