Simulator-conditioned Driving Scene Generation

A mod for Assetto Corsa that provides a highly customizable steering assist for controller and keyboard.

A realistic electric supercar for FlightGear based on the Renault Kangoo I Follow me vehicle.

This high performance tool will let you create dynamic city wide traffic powered by Unity’s DOTS Entities for MASSIVE scale and ultra smooth performance. Mobile friendly and capable of simulating thousands of realistic vehicles.

JOAN is an software package that allows to perform human-in-the loop experiments in the open source driving simulator CARLA. JOAN facilitates communication between human input devices and CARLA, the implementation of haptic feedback, systematically storing experiment data, and the automatic execution of experiments with multiple experimental con…

基于Unity3D的科目二模拟驾考软件

🚘⚠️ RAAS is a modular driver assistance system developed in the CARLA simulator for integration into Russian vehicles such as Lada, Aurus, and others. It includes a wide range of ADAS features and proposes a concept and prototype of how such a system could be built for domestic cars, focusing on adaptability, open architecture, and real-world use.

A mod for Assetto Corsa to provide trigger rumble for Xbox controllers.

Self-driving car on Udacity simulator using Computer Vision

Xodr2OSG is aimed in reading OpenDrive scenes to OpenSceneGraph structures. Produced OpenSceneGraph structures can then be viewed in a simple OSG viewer or saved into .osg scene files.

CARLA Simulator, Xbox One controller, Fanatec DD1 wheels, adjustable rear view mirrors, share memory model

Nissan Leaf Driving Simulation Repository for Team 8

DuckieNet: Integrating Planning with Semantic Segmentation for Goal-Directed Autonomous Navigation in Crowded Environments

Human Machine Interfaces to AutoDRIVE Simulator

2D simulator of a car with fuzzy steering control

Steering wheel + pedals made with the lego ev3

Historic releases of OpenCRG C API

This Unity-based VR simulation explores how distance and deceleration rates affect pedestrians' perception of vehicle slowing. Participants observe a virtual vehicle decelerating at various speeds and distances, with trials conducted in three environments: Air, Ground, and Road.

Procedural Content Generation for Testing Autonomous Driving Cars

Adaptive_detection is a sophisticated reinforcement learning framework designed for autonomous driving applications using the CARLA simulator. The project integrates state-of-the-art YOLOv9 object detection to enable adaptive perception and decision-making in complex driving scenarios.