3 papers
cs.CV2025
OccSTeP: Benchmarking 4D Occupancy Spatio-Temporal Persistence
Yu Zheng, Jie Hu, Kailun Yang +1
Autonomous driving requires a persistent understanding of 3D scenes that is robust to temporal disturbances and accounts for potential future actions. We introduce a new concept of…
cs.CV2024
DTCLMapper: Dual Temporal Consistent Learning for Vectorized HD Map Construction
Siyu Li, Jiacheng Lin, Hao Shi +5
Temporal information plays a pivotal role in Bird's-Eye-View (BEV) driving scene understanding, which can alleviate the visual information sparsity. However, the indiscriminate tem…
cs.CV2024
Offboard Occupancy Refinement with Hybrid Propagation for Autonomous Driving
Hao Shi, Song Wang, Jiaming Zhang +5
Vision-based occupancy prediction, also known as 3D Semantic Scene Completion (SSC), presents a significant challenge in computer vision. Previous methods, confined to onboard proc…