Collision-Avoidance-System

Decision Intelligence Platform for Autonomous Driving simulation.

Traffic scenario definition and execution engine

Learn how to use CARLA with basic APIs

An open source advanced driver assistance system (ADAS) that uses Jetson Nano as the hardware. Features: Traffic sign detection, Forward collision warning, Lane departure warning.

Roach: End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. ICCV 2021.

A powerful open environment for automotive bus monitoring, simulation, testing, diagnostics, calibration and so on. It supports all kinds of mainstream hardware such as TOSUN, Vector, IXXAT, PEAK, Kvaser, Intrepidcs, ZLG, CANable, CandleLight, cantact and so on. Free for research and education purpose for some features.

(CoRL 2019) Driving in CARLA using waypoint prediction and two-stage imitation learning

Implementation of "A Random Finite Set Approach for Dynamic Occupancy Grid Maps with Real-Time Application"

Implementation of the real-time MPC based on iLQR in Carla simulator

Visualize carla in the web browser