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UM Ford Center for Autonomous Vehicles (FCAV)

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Autonomous Vehicle Research

Driving the Cars of Tomorrow

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Our center is researching the cutting edge of mobility and robotics

 

The University of Michigan and Ford Motor Company have partnered to form the UM & Ford Center for Autonomous Vehicles (FCAV) to accelerate autonomous vehicle research and explore the future of driving through safer and more capable vehicles. We are researching perception, control, and planning for level-4 self-driving cars.

 

 

Research Videos

Research Videos
Pedestrian Planar LiDAR Pose (PPLP) Network for Oriented Pedestrian Detection
Predicting pedestrian movement in 3D for driverless cars
Occlusion-Aware Risk Assessment for Autonomous Driving in Urban Environments
Pedx: Benchmark dataset for metric 3d pose estimation of pedestrians in complex urban intersections
Safe, Aggressive Quadrotor Flight via Reachability-based Trajectory Design
Provably Not-at-Fault Control of Autonomous Robots in Arbitrary Dynamic Environments
Guaranteed Safe Reachability-based Trajectory Design for a high-fidelity, autonomous passenger vehicle
Attack Detection via Dynamic Watermarking
Rover Demo: Receding-Horizon Trajectory Design for Mobile Robots
Segway Demo: Receding-Horizon Trajectory Design for Mobile Robots
Failing to Learn: Autonomously Identifying Perception Failures for Self-Driving Cars

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