CoverNet: Multimodal Behavior Prediction using Trajectory Sets

2 code implementations • CVPR 2020 • Tung Phan-Minh, Elena Corina Grigore, Freddy A. Boulton, Oscar Beijbom, Eric M. Wolff

We instead frame the trajectory prediction problem as classification over a diverse set of trajectories.

regression Trajectory Prediction

Counter-example Guided Learning of Bounds on Environment Behavior

1 code implementation • 20 Jan 2020 • Yuxiao Chen, Sumanth Dathathri, Tung Phan-Minh, Richard M. Murray

There is a growing interest in building autonomous systems that interact with complex environments.

Failure-Tolerant Contract-Based Design of an Automated Valet Parking System using a Directive-Response Architecture

no code implementations • 24 Mar 2021 • Josefine Graebener, Tung Phan-Minh, Jiaqi Yan, Qiming Zhao, Richard M. Murray

Increased complexity in cyber-physical systems calls for modular system design methodologies that guarantee correct and reliable behavior, both in normal operations and in the presence of failures.

Driving in Real Life with Inverse Reinforcement Learning

no code implementations • 7 Jun 2022 • Tung Phan-Minh, Forbes Howington, Ting-Sheng Chu, Sang Uk Lee, Momchil S. Tomov, Nanxiang Li, Caglayan Dicle, Samuel Findler, Francisco Suarez-Ruiz, Robert Beaudoin, Bo Yang, Sammy Omari, Eric M. Wolff

In this paper, we introduce the first learning-based planner to drive a car in dense, urban traffic using Inverse Reinforcement Learning (IRL).

Autonomous Driving Imitation Learning +2