Schedule

Time: 8:30am - 12:30pm, September 24

Location: Salon 9

Time Event
8:30-8:45 Opening Remarks
8:45-9:30 Keynote: Large Language and Vision Models for Autonomous Driving
Long Chen, Wayve
https://long.ooo/
9:30-9:45 ContextVLM: Zero-Shot and Few-Shot Context Understanding for Autonomous Driving Using Vision Language Models
Shounak Sural, CMU
ssural@andrew.cmu.edu
9:45-10:00 Semantic Trajectory Data Mining with LLM-Informed POI Classification
Yifan Liu, UCLA
yl8690@nyu.edu (Zoom)
10:00-10:15 A LLM-based Multimodal Warning System for Driver Assistance
Zixuan Xu, KAIST
zixuan.xu@kaist.ac.kr
10:15-10:30 Real-Time Data Informed Intelligent ChatBot for Transportation Surveillance and Management
Joey Cai, UW
zhiyu_cai@berkeley.edu (Zoom)
10:30-10:45 Personalized Autonomous Driving with Large Language Models: Field Experiments
Ziran Wang, Purdue
ziran@purdue.edu
10:45-11:00 ScenarioQA: Evaluating Test Scenario Reasoning Capabilities of Large Language Models
Ishaan Paranjape, UC Santa Cruz
iparanja@ucsc.edu
11:00-11:15 Large Language Models for Human-Like Autonomous Driving: A Survey
Yun LI, The University of Tokyo
li-yun@g.ecc.u-tokyo.ac.jp (Zoom)
11:15-11:30 Evaluating and Enhancing Trustworthiness of LLMs in Perception Tasks
Malsha Mahawatta, University of Gothenburg
malsha.mahawatta@gu.se
11:30-12:15 Keynote: TBD
Manmohan Chandraker, NEC Labs America
https://www.nec-labs.com/research/media-analytics/people/manmohan-chandraker/
12:15-12:30 Closing Remarks