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IDS Guest Seminar - by Dr. Hongyang Li

Title: Towards General and Intelligent Autonomous Agent and System

Speaker: Hongyang Li, Research Scientist and PI at OpenDriveLab, Shanghai AI Lab

Date: Feb 19, 2024
Time: 2:30am – 3:30pm
Venue: HKU IDS, P307, Graduate House / Zoom

Mode: Hybrid. Seats for on-site participants are limited. A confirmation email will be sent to participants who have successfully registered. 


End-to-end autonomous driving (E2E AD) has become a popular hit recently. Compared to conventional modular based design, the main advantages of E2E AD descend from the global optimization across sub-modules in the system, and the unanimous objective towards planning and control task. Some leading corporations from industry have also adopted such an end-to-end philosophy and rolled out to customers on the product end. In this talk, we will first walkthrough the key milestones and roadmap of E2E AD, including the first prototypical work UniAD, proposed by OpenDriveLab and recognized as IEEE CVPR 2023 Best Paper. Then the pivotal challenges (generalization, world model, etc.) that the community currently are confronted with are discussed. With the prevalence of foundation models, how to utilize LLM/VLM techniques and distill common knowledge from experienced human experts are covered as well.The talk would be concluded with some future perspectives on building towards a general and intelligent system in a wide span of downstream applications for the next couple years.


Dr. Hongyang Li
Research Scientist and PI @ OpenDriveLab, Shanghai AI Lab

Dr. Hongyang Li is a full-time Research Scientist and PI at OpenDriveLab, Shanghai AI Lab. His research focus is on autonomous driving and embodied AI. He obtained the Ph.D. degree from The Chinese University of Hong Kong in 2019 and worked a few years at industry on L2 assistant autonomous driving. In 2021, he built and led the OpenDriveLab team at Shanghai AI Lab. He proposed the bird’s-eye-view perception work, BEVFormer, that won Top 100 AI Papers in 2022 and was recognized by Jensen Huang, CEO of NVIDIA in a Keynote at CompteX 2023. He lead the end-to-end autonomous driving project, UniAD and won the IEEE CVPR 2023 Best Paper Award. UniAD has a large impact both in academia and industry, including the recent rollout to customers by Tesla in FSD V12 version. He is the Notable Area Chair at NeurIPS 2023, the Senior Member of IEEE. For more details, please visit is a fellow of the IEEE and a distinguished member of the

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