Integration of an Agent Model into an Open Simulation Architecture for Scenario-Based Testing of Automated Vehicles

MultiCorrupt: A benchmark for robust multi-modal 3D object detection, evaluating LiDAR-Camera fusion models in autonomous driving. Includes diverse corruption types (e.g., misalignment, miscalibrat…

CARLA Open Simulation Architecture

ROS bridge for CARLA Simulator

docker-ros automatically builds development and deployment Docker images for your ROS-based repositories

ScenarioNet: Scalable Traffic Scenario Management System for Autonomous Driving

MetaDrive: Open-source driving simulator

Traffic scenario definition and execution engine

Open-source simulator for autonomous driving research.

ROS / ROS 2 Support for ETSI ITS Messages for V2X Communication

Pre-built libtensorflow_cc.so and Docker Images for TensorFlow C++ API

Machine Learning-Enabled ROS Docker Images

'docker run' and 'docker exec' with useful defaults

ROS / ROS 2 C++ Node for bi-directionally bridging messages between ROS and MQTT

Jupyter Notebooks for the MOOC "Automated and Connected Driving Challenges" available on edX.

The goal of this repo is to make the drone datasets as easy to use as possible. For this purpose we provide source code in Python, which allows the import and visualization of the datasets.

TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.

Code Repository for the MOOC "Automated and Connected Driving Challenges" available on edX.