This package provides a python toolkit for the evaluation on the "SeasonDepth: Cross-Season Monocular Depth Prediction Dataset and Benchmark under Multiple Environments", which is also used for Sea…

This is the official released code for CVPR 2022 "Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving"

Lane Keeping Assist function by applying Stanley method for lateral control and PID controller for longitudinal control using Python on the Carla simulator. 🚗

[ICRA 2021] Deep Learning on 3D Object Detection for Automatic Plug-in Charging Using a Mobile Manipulator

Autonomous driving simulation in the Unity engine.

🩺 : Elevate Your Planner, Perfect Your Motion 🌠

Python / Tensorflow implementation of LU-Net

A Unified and Extensible Infrastructure for Autonomous Driving Testing

Occupancy grid mapping using Python - KITTI dataset

CARLA GUI tools (for debug on ego-vechile)

SCTrans: Constructing a Large Public Scenario Dataset for Simulation Testing of Autonomous Driving Systems

Unofficial implementation of PointFusion for 3D object bounding box prediction

scenoRITA: Generating Diverse, Fully-Mutable, Safety-Critical and Motion Sickness-Inducing Scenarios for Autonomous Vehicles

BehAVExplor: Behavior Diversity Guided Testing for Autonomous Driving Systems (ISSTA 2023)

Implementation of a Longitudinal and Lateral controller (2D) of an autonomous vehicle on Carla Simulator

This simulation of a car uses steering angle predictions from a convolutional neural network, this is also called end-to-end learning. It is able to drive fully autonomously on the whole track with…

Learning Configurations of Operating Environment of Autonomous Vehicles to Maximize their Collisions

A CARLA controller for generating datasets and end-to-end models for autonomous vehicle control

ComOpT is a research tool for coverage-driven and constraint-driven testing of autonomous driving systems.

We design a PID controller to steer an CARLA-simulated autonomous car on a pre-determined racetrack. We use MATLAB, Simulink, and MATLAB’s System Identification Toolbox to model the car into a suit…

Tool, paper, and study data for DeepManeuver: Adversarial Test Generation for Trajectory Manipulation of Autonomous Vehicles.

Cyber-Physical Inconsistency Identification for Safety Checks in Robotic Vehicles

Python implementation of point cloud structural similarity.

This project aims to develop a vehicle controller to control the vehicle in CARLA simulator to follow a race track by navigating through preset waypoints.

Highway Crossing Scenario for the CARLA scenaria runner