Self-driving cars relying solely on ego-centric perception face limitations in sensing, often
failing to detect occluded, faraway objects. Collaborative autonomous driving (CAV) seems …

Spacetime (4D) occupancy forecasting explicitly models the future development of self-
driving vehicles (SDVs) themselves and their surrounding environment, which is highly …

Labeling LiDAR point clouds is notoriously time-and-energy-consuming, which spurs recent
unsupervised 3D representation learning methods to alleviate the labeling burden in LiDAR …

LiDAR simulation plays a crucial role in closed-loop simulation for autonomous driving.
Although recent advancements, such as the use of reconstructed mesh and Neural …

This paper targets the challenge of real-time LiDAR re-simulation in dynamic driving
scenarios. Recent approaches utilize neural radiance fields combined with the physical …

We propose a framework to edit real-world Lidar scans with novel object layouts while
preserving a realistic background environment. Compared to the synthetic data generation …

LiDAR novel view synthesis (NVS) has emerged as a novel task within LiDAR simulation,
offering valuable simulated point cloud data from novel viewpoints to aid in autonomous …