Workshop on Safety Validation of Connected and Automated Vehicles
A Workshop at the 25th IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2022)
A Workshop at the 25th IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2022)
One critical bottleneck to improving the safety performance of connected and automated vehicles (CAVs) is the difficulty of testing and evaluating safety performance. To date, there are no consensus or standard procedures on how to test and evaluate CAVs. During the past few years, although the problem of CAV testing has been investigated extensively by various CAV developers, government agencies, professional organizations, as well as academic institutions, the theories, methods, and best practices to support such testing and evaluation are still lacking.
This workshop focuses on sharing the state-of-the-art theories, methods, algorithms, metrics, datasets, simulations, and field implementation of safety performance testing and evaluation of CAVs, and identifies challenges as well as research needs, aiming to encourage cross-disciplinary cooperation and facilitate the development and deployment of CAVs. The specific topics of interest are listed below:
Methodological frameworks for safety verification and validation
Advanced data engines for large-scale, high-resolution, and rich-context data collection
Naturalistic driving environment modeling with statistical realism
Testing scenario generation for comprehensive behavior competency evaluation
Testing environment generation for trip-level safety performance evaluation
Adversarial attacks on vehicle perception, decision, communication, and control
Safety assessment models development and evaluation
Infrastructure-assisted CAV technologies testing and evaluation
Advanced simulation of safety performance testing and evaluation
Advanced field implementation of safety performance testing and evaluation
Online Meeting URL:https://meeting.tencent.com/dm/6vKdyg4olX47
Online Meeting Room ID: 199-886-079
(Tencent Meeting via https://voovmeeting.com/index.html)
20:00-20:30 Heng Yang Towards Trustworthy Robot Perception: Certifiably Optimal Estimation and Probabilistically Correct Prediction
20:30-21:00 Yulin Pan Scenario-based Safety Testing of Connected and Automated Vehicles --- Ideas from Marine Engineering
21:00-21:30 Alfred Chen On the Cyber-Physical Security of Autonomous Driving and Intelligent Transportation Systems
21:30-22:00 Chuchu Fan Density of Reachable States for Safe Autonomous Motion Planning
22:00-22:30 Robert Moss A Modular Framework for Efficient Autonomous Vehicle Risk Assessment and Validation
22:30-23:00 John Scanlon Stress Testing Automated Driving Systems: Novel Techniques for Assessing Safety Performance Using Historical Crash Data
Assistant Professor, Massachusetts Institute of Technology