Prof. Jiaqi Ma
UCLA, Samueli School of Engineering
Email: jiaqima@ucla.edu Website: https://samueli.ucla.edu/people/jiaqi-ma/
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Abstract
In this presentation, the latest advancements in Vehicle-to-Vehicle (V2V) and Vehicle-to-Everything (V2X) cooperative perception aimed at enhancing the safety and efficiency of automated transportation systems will be explored. The presentation will commence with an overview of OpenCDA, an open-source ecosystem tailored to meet the diverse requirements of various communities engaged in cooperative driving automation (CDA) research. This ecosystem establishes a bridge, ensuring seamless integration of development and testing pipelines, and having fostered a wealth of cooperative perception research in the field. Subsequently, four state-of-the-art algorithms developed for V2V and V2X cooperative perception will be introduced. The OPV2V paper offers an open benchmark dataset and fusion pipeline for perception utilizing V2V communication, while V2X-ViT presents a robust cooperative perception framework with V2X communication employing an innovative vision Transformer. V2XP-ASG generates adversarial scenes for V2X perception, and HM-ViT introduces a unified multi-agent hetero-modal cooperative perception framework. Lastly, the presentation will feature V2V4Real, which supplies an extensive real-world dataset and benchmark for V2V cooperative perception, alongside ongoing V2X real-world datasets and experiments taking place at the UCLA smart intersection.
Biography
Dr. Jiaqi Ma is an Associate Professor at the UCLA Samueli School of Engineering. Prior to that, he was Assistant/Associate Professor and Academic Director of the University of Cincinnati Advanced Transportation Collaborative, Project Manager and Research Scientist with Leidos working at the Federal Highway Administration Turner-Fairbank Highway Research Center, and a contractor researcher at the Virginia Transportation Research Council of the Virginia Department of Transportation (DOT). He has led and managed many research projects funded by U.S. DOT, National Science Foundation, state DOTs, and other federal/state/local programs covering areas of smart transportation systems, such as cooperative driving automation, Intelligent Transportation Systems (ITS), connected vehicles, shared mobility, and large-scale smart system modeling and simulation, and artificial intelligence and advanced computing applications in automated transportation. He is an Associate Editor of the IEEE Open Journal of Intelligent Transportation Systems and Journal of Intelligent Transportation Systems. He is Member of the Transportation Research Board (TRB) Standing Committee on Vehicle-Highway Automation, Member of TRB Standing Committee on Artificial Intelligence and Advanced Computing Applications, Member of American Society of Civil Engineers (ASCE) Connected & Autonomous Vehicles Impacts Committee, Co-Chair of the IEEE ITS Society Technical Committee on Smart Mobility and Transportation 5.0, and Member of the Academic Advisory Council of Partners for Automated Vehicle Education (PAVE).
When and how to participate
The webinar will be broadcasted live on April 27, 2023 at 8 am (PDT) – 5 pm (CEST) on Zoom (approx duration 1h + 30m Q&A)
Register HERE