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Current Research on AI Foundation for Autonomous Driving

An Open-source Platform For Testing Edge Computing at Intersections

To develop modular software systems to facilitate both research innovations and commercial AV efforts to share common components, enabling data fusion across multiple AVs.

Improving the Safety of Highway Travel

This research will investigate vehicle safety in a mixed-road environment that includes human driven vehicles, as well as connected and automated vehicles.

Can AI Decision-making be made Faster and Cheaper?

This project is developing "warm-start" RL algorithms that can learn driving policy quickly to improve safety, accelerated by offline training.

Current Public Policy Research and Tracking

Equitable AV Demonstration Incubator

This research will aim to quantify accessibility gap and Identify whether and how CAV solutions meet community needs and develop Incubator Program to engage different communities.

Remote Operation Policy

Standards can measure and validate the performance and safety of vehicle teleoperation may improve safety outcomes, but more research is necessary to identify if such standards can be implemented and whether it will fall to state or federal oversight.

Identifying AV Policy Gaps: State and Federal

This project focuses on evaluating Purview of state vs. federal government, evaluating state, federal, and international safety standards, and evaluating more specific AV permit classifications

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University of California, Davis, One Shields Avenue, Davis, CA 95616 | 530-752-1011

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Last update: September 14, 2022

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