SE4AI Project - Evasion Attacks on Self-Driving Cars to find vulnerabilities
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Updated
Jul 18, 2024 - Python
SE4AI Project - Evasion Attacks on Self-Driving Cars to find vulnerabilities
Autonomous driving episode generation for the Carla simulator in a gym environment. This framework makes it easy to create driving scenarios to train/test the agent.
Open Source Toolchain for Automotive and Railway Research
Autonomous driving agent in Carla simulator leveraging IL and RL techniques.
Intersection Gym environment in CARLA Town 3
Framework to generate AI Agent implemented in python or SystemC giving the user the flexibility in defining the parameters based on the training model using proper dataset or based on application need.
Blender add-on for creating OpenDRIVE and OpenSCENARIO based automotive driving scenarios including 3D models
Dockerized Container Architecture for Parallel Training of CARLA Gym Environments
EpiTESTER: Testing Autonomous Vehicles with Epigenetic Algorithm and Attention Mechanism
Multi Agent Traffic Scenario Gym: A scenario-based training and evaluation framework for CARLA.
Using diffusion model to reach controllable end-to-end driving with Carla simulation environment.
Topic: Autonomous Driving Development | Team size: 3 | Top 5 - CodeRace Challenge 2024 (by Bosch Global Software Technologies Vietnam)
This program record the trajectory of manual_control of Carla python API. It can also repeat the same trajectory
Unlocking consistent interfacing to the most useful autonomous vehicle datasets and simulators.
Convert Vegvesen NVDB road network to OpenDrive
This the repo for master thesis--SMPC in heavy traffic scenario
An extension of the Planner-Actor-Reporter framework applied to autonomous vehicles in Highway-Env and CARLA.
A hybrid collision avoidance system combining Deep Reinforcement Learning with Model Predictive Control, designed for autonomous vehicles in CARLA to navigate scenarios with stationary obstacles.
On a quest to reimplement GP3Net from https://arxiv.org/abs/2312.05784
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