Michigan Traffic Lab's repositories
Dense-Deep-Reinforcement-Learning
This repo contains the code for paper "Dense reinforcement learning for safety validation of autonomous vehicles"
Naturalistic-and-Adversarial-Driving-Environment
This repo contains the code for paper "Intelligent driving intelligence test for autonomous vehicles with naturalistic and adversarial environment".
Learning-Naturalistic-Driving-Environment
This repo contains the code for paper "Learning naturalistic driving environment with statistical realism"
Ann-Arbor-Intersection-Trajectory-Data
The dataset contains the vehicle trajectory data perceived by the roadside perception system deployed at the signalized intersections and pedestrian corssing midblocks of City of Ann Arbor, Michigan.