Thi Nguyen — accepted AI-conference papers

2020

Deep Kinematic Models for Kinematically Feasible Vehicle Trajectory Predictions

Henggang Cui, Thi Nguyen, Fang-Chieh Chou, Tsung-Han Lin, Jeff Schneider, David Bradley +1

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 100 Source ↗Scholar ↗

2019

Multimodal Trajectory Predictions for Autonomous Driving using Deep Convolutional Networks

Henggang Cui, Vladan Radosavljevic, Fang-Chieh Chou, Tsung-Han Lin, Thi Nguyen, Tzu-Kuo Huang +2

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 823 Source ↗Scholar ↗