activity
20232025
most citedAccidentGPT: Accident Analysis and Prevention from V2X Environmental Perception with Multi-modal Large Model

15 citations · 15 across the 5 of their papers we have counts for

collaborators

6 papers

cs.CV2025

AMap: Distilling Future Priors for Ahead-Aware Online HD Map Construction

Ruikai Li, Xinrun Li, Mengwei Xie +12

Online High-Definition (HD) map construction is pivotal for autonomous driving. While recent approaches leverage historical temporal fusion to improve performance, we identify a cr…

cs.CV2025

Stability Under Scrutiny: Benchmarking Representation Paradigms for Online HD Mapping

Hao Shan, Ruikai Li, Han Jiang +8

As one of the fundamental modules in autonomous driving, online high-definition (HD) maps have attracted significant attention due to their cost-effectiveness and real-time capabil…

cs.CV2025

MapKD: Unlocking Prior Knowledge with Cross-Modal Distillation for Efficient Online HD Map Construction

Ziyang Yan, Ruikai Li, Zhiyong Cui +7

Online HD map construction is a fundamental task in autonomous driving systems, aiming to acquire semantic information of map elements around the ego vehicle based on real-time sen…

cs.CV2024

Stag-1: Towards Realistic 4D Driving Simulation with Video Generation Model

Lening Wang, Wenzhao Zheng, Dalong Du +8

4D driving simulation is essential for developing realistic autonomous driving simulators. Despite advancements in existing methods for generating driving scenes, significant chall…

cs.CV2024

OccSora: 4D Occupancy Generation Models as World Simulators for Autonomous Driving

Lening Wang, Wenzhao Zheng, Yilong Ren +4

Understanding the evolution of 3D scenes is important for effective autonomous driving. While conventional methods mode scene development with the motion of individual instances, w…

cs.CE2023★ 15 cited

AccidentGPT: Accident Analysis and Prevention from V2X Environmental Perception with Multi-modal Large Model

Lening Wang, Yilong Ren, Han Jiang +9

Traffic accidents, being a significant contributor to both human casualties and property damage, have long been a focal point of research for many scholars in the field of traffic…