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Fang-Chieh Chou

3 accepted papers

2021

Reachability Analysis for FollowerStopper: Safety Analysis and Experimental Results

ICRA 2021poster

Motivated by earlier work and the developer of a new algorithm, the FollowerStopper, this article uses reachability analysis to verify the safety of the FollowerStopper algorithm, which is a controller designed for dampening stop-and-go traffic waves. With more than 1100 miles of driving data collec…

Cited by 7SourceScholar
2020

Deep Kinematic Models for Kinematically Feasible Vehicle Trajectory Predictions

ICRA 2020poster

Self-driving vehicles (SDVs) hold great potential for improving traffic safety and are poised to positively affect the quality of life of millions of people. To unlock this potential one of the critical aspects of the autonomous technology is understanding and predicting future movement of vehicles…

Cited by 100SourceScholar
2019

Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks

ICRA 2019poster

Autonomous driving presents one of the largest problems that the robotics and artificial intelligence communities are facing at the moment, both in terms of difficulty and potential societal impact. Self-driving vehicles (SDVs) are expected to prevent road accidents and save millions of lives while…

Cited by 823SourceScholar