Open-source simulator for autonomous driving research.

A modular autonomous driving simulation platform with computer vision, deep learning, and sensor fusion. Features lane detection, object recognition, and adaptive control in BeamNG.tech, with real-time visualization via Foxglove.

PCLA: A framework for testing autonomous agents in the CARLA simulator

SimBEV is a configurable and scalable synthetic driving data generation tool based on the CARLA Simulator.

A multi-stack, ETSI compliant, V2X framework for ns-3.

Carla Simulation + Model training. Model playground. ML Workflow Builder

Via high-fidelity CARLA vehicle simulator & deep semantic segmentation, data from RGBA cameras and LiDAR sensors are combined to achieve comprehensive environmental awareness

Updated scripts to work on Ubuntu 24.04 and without sudo rights.

Data generation pipeline for synthetic autonomous driving point-cloud data.

PlanT 2.0: Exposing Biases and Structural Flaws in Closed-Loop Driving

Implementing a switching system between two navigation modes of a teleoperated vehicle using CARLA & MATLAB.

TELECARLA: An Open Source Extension of the CARLA Simulator for Teleoperated Driving Research Using Off-the-Shelf Components

Autonomous vehicle motion planning system with behavioral planning, local path optimization, and velocity profiling. Features collision avoidance, stop sign compliance, and lead vehicle following. Implemented in Python with CARLA simulator integration.

[CoRL'22] PlanT: Explainable Planning Transformers via Object-Level Representations

Blender add-on for creating OpenDRIVE and OpenSCENARIO based automotive driving scenarios including 3D models

A PyTorch implementation of end-to-end learning for self-driving cars, inspired by NVIDIA's "End to End Learning for Self-Driving Cars" paper on CARLA simulator for data collection and testing with custom implementation

CARLA Simulator Web UI

Digital twin of the University of Michigan’s Mcity Test Facility to support research and development of transportation technology, both academic and commercial.

Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]

Traffic Scene Generation from Natural Language Description for Autonomous Vehicles with Large Language Models