DriveGPT4: Interpretable End-to-end Autonomous Driving via Large Language Model

no code implementations • 2 Oct 2023 • Zhenhua Xu, Yujia Zhang, Enze Xie, Zhen Zhao, Yong Guo, Kwan-Yee. K. Wong, Zhenguo Li, Hengshuang Zhao

Multimodal large language models (MLLMs) have emerged as a prominent area of interest within the research community, given their proficiency in handling and reasoning with non-textual data, including images and videos.

Autonomous Driving Language Modelling +2

InsMapper: Exploring Inner-instance Information for Vectorized HD Mapping

no code implementations • 16 Aug 2023 • Zhenhua Xu, Kwan-Yee. K. Wong, Hengshuang Zhao

Vectorized high-definition (HD) maps contain detailed information about surrounding road elements, which are crucial for various downstream tasks in modern autonomous vehicles, such as motion planning and vehicle control.

Autonomous Driving Line Detection +1