3 papers indexed
Ziyan Wang, Tan Xiang, Peng Chen, Xintao Yan
A local-to-global context mismatch arises when autoregressive traffic simulators trained on ego-centric driving logs are deployed in globally observable closed-loop environments. In such logs, the ego vehicle has rich local observations, while surrounding agents are only partiall…
Lingyu Xiao, Zexin Feng, Xintao Yan
Interactive traffic simulation is a vital world model for autonomous driving. A central challenge in long-horizon simulation is modeling sustained multi-agent interactions, which is further exacerbated by dynamic token cardinality as agents continuously enter and exit the scene.…
Henry Liu, Zhong Cao, Xintao Yan, Shuo Feng, Qiujing Lu
Autonomous vehicles (AVs) are among the most transformative technologies of the 21st century, reshaping our vision of transportation and mobility. Since the debut of the first prototypes in 2004, rapid technological breakthroughs have significantly advanced AV capabilities, culmi…