Automated Vehicles Symposium 2019

Artificial Intelligence and Machine Learning in Infrastructure Readiness for AVS (Room Grand 12)

Organizers

Sherif Ishak, Professor and Chair, Old Dominion University
Haizhong Wang, Associate Professor, Oregon State University
Yuanchang Xie, Associate Professor, University of Massachusetts Lowell
Lina Karam, Professor, Arizona State University
Mohamed Zaki, Assistant Professor, University of Central Florida
Osama Osman, Research Associate, Virginia Tech Transportation Institute
Ziqi Song, Assistant Professor, Utah State University
Bo Wang, Mobility Data Science Manager, Ford Motor Company

Session Description
This session focuses on the infrastructure (i.e., physical, computing, algorithmic) readiness to apply Artificial Intelligence (AI) and Machine Learning (ML) technologies in automated driving.  

Goals/Objectives/Outputs
    

  • Understanding of how AI and CAV can help to improve safety and traffic operations

Agenda

1:30 PM – 2:50 PM Autonomous Driving and Safety

Moderator:  Bo Wang

  • Multimodal Trajectory Predictions for Autonomous Driving Using Deep Convolutional Networks – David Zeng, Software Engineer, Uber
  • Visual Perception in Adverse Weather – Mr. Jim D'Souza, Software Engineer, Algolux

2:50 PM – 3:20 PM Break

3:20 PM – 4:40 PM Autonomous Driving and Mobility

Moderator:  Mohamed Zaki

  • Approximate Markov Decision Processes for Autonomous System Motion Planning – Kai Yin, Staff Data Scientist, HomeAway/Expedia Group
  • Advanced Highway Work Zone Merge Control based on Soft Actor Critic Reinforcement Learning and AV – Yuanchang Xie, Associate Professor, University of Massachusetts Lowell

4:40 PM – 5:00 PM Final Discussion and Conclusion

Moderators: Bo Wang and Mohamed Zaki