[Lecture] Autonomous Driving in the Era of Large Models
Speaker: Professor Zheng Wenzhao (University of California, Berkeley, the U.S.)
Date: December 28, 2024(Saturday)
Time:15:00-16:30
Venue: First Floor, Lecture Hall, West District Library
Abstract: Autonomous driving, recognized as a prominent research focus within the domains of artificial intelligence and unmanned systems, holds substantial application potential across various sectors, including industry, agriculture, transportation, and services. The report commences with a review of the historical development of autonomous driving and visual perception, subsequently detailing the significant advancements achieved in visual perception specifically tailored for autonomous driving in recent years. These advancements encompass visual perception methodologies applicable to diverse data types (including point cloud data, image data, surround view data, and multimodal data), and thoroughly examine their applications in autonomous driving perception tasks, such as visual object detection, visual scene reconstruction, semantic occupancy prediction, motion trajectory prediction, and semantic map construction. Finally, the report introduces a series of large driving models proposed by the team, which provide crucial technical support for the realization of safe and efficient autonomous driving systems, thereby unlocking new possibilities for the application of autonomous driving technology across various fields.
Introduction to the speaker: Zheng Wenzhao is a postdoctoral researcher at the Artificial Intelligence Laboratory of the University of California, Berkeley. He obtained both his undergraduate and doctoral degrees from Tsinghua University. His primary research interests lie in artificial intelligence and pattern recognition, with a particular emphasis on multimodal large models and autonomous driving. He has authored over 30 related papers and filed more than ten invention patents.
Source: NYNU Academic Activities (Chinese)
https://www.nynu.edu.cn/info/1048/29065.htm
