#Autonomous-vehicles
Showing 60 of 64 repositories tagged #autonomous-vehicles, ranked by stars
Python sample codes and textbook for robotics algorithms.
Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research
Open-source simulator for autonomous driving research.
Webots Robot Simulator
Scenarios, tutorials and demos for Autonomous Driving
Curated List of Self-Driving Cars and Autonomous Vehicles Resources
Collect some World Models for Autonomous Driving (and Robotic, etc.) papers.
A curated list of radar datasets, detection, tracking and fusion
A selection of state-of-the-art research materials on trajectory prediction
Fast symbolic computation, code generation, and nonlinear optimization for robotics
Official PyTorch implementation of VoxFormer [CVPR 2023 Highlight]
OpenEMMA, a permissively licensed open source "reproduction" of Waymo’s EMMA model.
无人驾驶的资源列表中文版
L5Kit - https://woven.toyota
CVPR2023-Occupancy-Prediction-Challenge
Code accompanying the ECCV 2020 paper "Trajectron++: Dynamically-Feasible Trajectory Forecasting With Heterogeneous Data" by Tim Salzmann*, Boris Ivanovic*, Punarjay Chakravarty, and Marco Pavone (* denotes equal contribution).
Power Tools for AI Engineers With Deadlines
TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
Master's Thesis on Simultaneous Localization and Mapping in dynamic environments. Separately reconstructs both the static environment and the dynamic objects from it, such as cars.
Modular autonomous driving platform running on the CARLA simulator and real-world vehicles.
Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor
Fastest Robotics Runtime System. If phones have Android, robots deserve HORUS.
a collection of computer vision projects&tools. 计算机视觉方向项目和工具集合。
Open-Source Framework for Development, Simulation and Benchmarking of Behavior Planning Algorithms for Autonomous Driving
Be Driven 🚘
[CoRL2022] CoBEVT: Cooperative Bird's Eye View Semantic Segmentation with Sparse Transformers
Pytorch code for ICCV'23 paper. NEO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes
A selection of state-of-the-art research materials on decision making and motion planning.
a comprehensive and critical synthesis of the emerging role of GenAI across the full autonomous driving stack
Master AI inference, AI agent harness systems, and hardware engineering — then design a physical AI chip. That is the goal.
[IROS2024] SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving
Occ4cast: LiDAR-based 4D Occupancy Completion and Forecasting
Autonomous RC Car using Neural Networks, Python and Open CV
zenoh-flow aims at providing a zenoh-based data-flow programming framework for computations that span from the cloud to the device.
This repository contains material related to A Versatile Cybersecurity Development Lifecycle (AVCDL)
motion planning algorithms with demos for various state-spaces
PID controllers for Go.
This repository contains code for the tracking system as described in ''Combined Image- and World-Space Tracking in Traffic Scenes'', ICRA 2017.
收集深度学习相关的awesome 资源列表,欢迎补充
The code in this repository is used to control the Autonomous Android Vehicle (AAV)
🚗 𝖀𝖓𝖔𝖋𝖋𝖎𝖈𝖎𝖆𝖑 PyTorch implementation of "End-to-End Learning for Self-Driving Cars" (arXiv:1604.07316) with Udacity's Simulator
Ros package for basic autonomous lane tracking and object detection
Lane detection and classification in an end-to-end Deep Learning fashion
TuSimple lane detection dataset addon with class information.
Deep learning based lane/freespace detector embedded in ROS node (built for UC3M LSI)
🏆 Official implementation of LangCoop: Collaborative Driving with Natural Language
Driving risk assessment with deep learning using a monocular camera. Related paper: https://arxiv.org/abs/1906.02859
In this project, I used Python and OpenCV to detect lane lines on the road. I developed a processing pipeline that works on a series of individual images, and applied the result to a video stream.
The autonomous platform inertial dataset
[IEEE Research paper + Project] Real Time Road Accidents Detection System based on crash estimation; a computer vision techniques that detects road accidents and reports them in real-time as well as allowing the monitoring of accidents using a client server architecture and an interactive GUI.
Lane identification system for camera based systems.
Intelligent Driver Monitoring system for Autonomous Vehicles
(2023 ITSM) Collaborative Perception in Autonomous Driving: Methods, Datasets and Challenges
Official implementation of AirV2X: Unified Air-Ground\\Vehicle-to-Everything Collaboration
An all-weather, day-and-night, collision avoidance simulator that can be implemented as a digital twin for the autonomous COLREG-compliant navigation of maritime vessels.
An Advanced Lane Detection program highlighting lane area
Dataset and Evaluation Scripts for Obstacle Detection via Semantic Segmentation in a Marine Environment
An open-source End-to-End AI model for self driving
WaSR Segmentation Network for Unmanned Surface Vehicles v0.5