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Baihui Xiao

2 accepted papers

2025

RoboTron-Drive: All-in-One Large Multimodal Model for Autonomous Driving

Zhijian Huang, Chengjian Feng, Feng Yan, Baihui Xiao, Zequn Jie, Yujie Zhong +2
ICCV 2025poster

Large Multimodal Models (LMMs) have demonstrated exceptional comprehension and interpretation capabilities in Autonomous Driving (AD) by incorporating large language models. Despite the advancements, current data-driven AD approaches tend to concentrate on a single dataset and specific tasks, neglec…

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2025

RoboTron-Sim: Improving Real-World Driving via Simulated Hard-Case

Baihui Xiao, Chengjian Feng, Zhijian Huang, Feng Yan, Yujie Zhong, Lin Ma
ICCV 2025poster

Collecting real-world data for rare high-risk scenarios, long-tailed driving events, and complex interactions remains challenging, leading to poor performance of existing autonomous driving systems in these critical situations. In this paper, we propose RoboTron-Sim that improves real-world driving…

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