Trending repositories for topic autonomous-driving

Python sample codes and documents about Autonomous vehicle control algorithm. In the future, I want to publish these ones as my own technical book for beginners.

Python sample codes for robotics algorithms.

Open-source simulator for autonomous driving research.

Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving

An open autonomous driving platform

Waymo Open Dataset

Official implementation of the paper “MagicDriveDiT: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control”

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

Collect some World Models for Autonomous Driving papers.

🚀🚀🚀 A collection of some awesome public YOLO object detection series projects and the related object detection datasets.

[NeurIPS 2024] A Generalizable World Model for Autonomous Driving

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]

OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving

Papers and Datasets about Point Cloud.

[ICCV 2023] OccNet: Scene as Occupancy

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

Code for "DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT"

[RA-L'24] DUFOMap: Efficient Dynamic Awareness Mapping

Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Python sample codes and documents about Autonomous vehicle control algorithm. In the future, I want to publish these ones as my own technical book for beginners.

Multi-Agent Trajectory Prediction with Difficulty-Guided Feature Enhancement Network

A comprehensive list of papers for the definition of World Models and using World Models for General Video Generation, Embodied AI, and Autonomous Driving, including papers, codes, and related website...

Code for "DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT"

Official implementation of the paper “MagicDriveDiT: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control”

Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]

[NeurIPS 2024] Behavioral Topology (BeTop), a multi-agent behavior formulation for interactive motion prediction and planning

World Model based Autonomous Driving Platform in CARLA :car:

[RA-L'24] DUFOMap: Efficient Dynamic Awareness Mapping

Vehicle State Estimation using Error-State Extended Kalman Filter

Collect some World Models for Autonomous Driving papers.

Bridging Large Vision-Language Models and End-to-End Autonomous Driving

[NeurIPS 2024] A Generalizable World Model for Autonomous Driving

Code for paper "MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping", ECCV 2024 (Oral)

[CVPR 2023] Query-Centric Trajectory Prediction

[ICCV 2023] OccNet: Scene as Occupancy

Official Implementation of Self-Supervised Street Gaussians for Autonomous Driving

An open HD map production process for autonomous car simulation

[ICLR 2024] Map Learning with Lane Segment for Autonomous Driving

Python sample codes for robotics algorithms.

Code for "DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT"

Python sample codes and documents about Autonomous vehicle control algorithm. In the future, I want to publish these ones as my own technical book for beginners.

Open-source simulator for autonomous driving research.

[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving

Official implementation of the paper “MagicDriveDiT: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control”

Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Collect some World Models for Autonomous Driving papers.

🚀🚀🚀 A collection of some awesome public YOLO object detection series projects and the related object detection datasets.

Autoware - the world's leading open-source software project for autonomous driving

[NeurIPS 2024] Behavioral Topology (BeTop), a multi-agent behavior formulation for interactive motion prediction and planning

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

An open autonomous driving platform

Papers and Datasets about Point Cloud.

Waymo Open Dataset

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

A curated list of world models for autonomous driving. Keep updated.

Bridging Large Vision-Language Models and End-to-End Autonomous Driving

😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.

Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Code for "DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT"

[NeurIPS 2024] Behavioral Topology (BeTop), a multi-agent behavior formulation for interactive motion prediction and planning

A comprehensive list of papers for the definition of World Models and using World Models for General Video Generation, Embodied AI, and Autonomous Driving, including papers, codes, and related website...

Official implementation of the paper “MagicDriveDiT: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control”

Complex YOLO ROS is a 3D object detection system interfaced with ROS, enabling real-time robotics applications. It utilizes Lidar data and deep learning techniques for accurate detection and localizat...

Python sample codes and documents about Autonomous vehicle control algorithm. In the future, I want to publish these ones as my own technical book for beginners.

DynamicCity: Large-Scale LiDAR Generation from Dynamic Scenes

[ECCV2024] This is the official implementation of GraphBEV, a BEV multi-modal framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

iterative Linear Quadratic Regulator practice

A collection of some awesome public object detection and recognition datasets.

World Model based Autonomous Driving Platform in CARLA :car:

SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving

A curated list of world models for autonomous driving. Keep updated.

Development Kit for the MAN TruckScenes Dataset

[ECCV 2024] Ray Denoising (RayDN): Depth-aware Hard Negative Sampling for Multi-view 3D Object Detection

OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection

Bridging Large Vision-Language Models and End-to-End Autonomous Driving

[IROS 2024] MPPI (Model Predictive Path-Integral) Controller for a Swerve Drive Robot

FedML for Autonomous Driving (AD), Intelligent Transportation Systems (ITS), Connected and Automated Vehicles (CAV)

Code for "DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT"

Are VLMs Ready for Autonomous Driving? An Empirical Study from the Reliability, Data, and Metric Perspectives

Python sample codes and documents about Autonomous vehicle control algorithm. In the future, I want to publish these ones as my own technical book for beginners.

Python sample codes for robotics algorithms.

Open-source simulator for autonomous driving research.

Official implementation of the paper “MagicDriveDiT: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control”

[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving

Code for "DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT"

Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.

An open autonomous driving platform

Autoware - the world's leading open-source software project for autonomous driving

[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

Collect some World Models for Autonomous Driving papers.

🚀🚀🚀 A collection of some awesome public YOLO object detection series projects and the related object detection datasets.

[ICCV'23] Hidden Biases of End-to-End Driving Models

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving

Bridging Large Vision-Language Models and End-to-End Autonomous Driving

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Mat...

[NeurIPS 2024] NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

LSD (LiDAR SLAM & Detection) is an open source perception architecture for autonomous vehicle/robotic

Code for "DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT"

Python sample codes and documents about Autonomous vehicle control algorithm. In the future, I want to publish these ones as my own technical book for beginners.

Official implementation of the paper “MagicDriveDiT: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control”

An open-source autonomous highway pilot system for privately owned vehicles

Closed-Loop Supervised Fine-Tuning of Tokenized Traffic Models

iterative Linear Quadratic Regulator practice

SplatAD: Real-Time Lidar and Camera Rendering with 3D Gaussian Splatting for Autonomous Driving

Python implementation of MPPI (Model Predictive Path-Integral) controller to understand the basic idea. Mandatory dependencies are numpy and matplotlib only.

A comprehensive list of papers for the definition of World Models and using World Models for General Video Generation, Embodied AI, and Autonomous Driving, including papers, codes, and related website...

[NeurIPS 2024] Behavioral Topology (BeTop), a multi-agent behavior formulation for interactive motion prediction and planning

[IROS 2024] MPPI (Model Predictive Path-Integral) Controller for a Swerve Drive Robot

Dual Perspective Fusion Transformer for Camera-Radar-based Object Detection

OpenAD: Open-World Autonomous Driving Benchmark for 3D Object Detection

Bridging Large Vision-Language Models and End-to-End Autonomous Driving

[ICCV'23] Hidden Biases of End-to-End Driving Models

Autonomous Mobile Robot developed and programmed in the online course named "Self-Driving and ROS 2 - Learn By Doing! Map & Localization"

Simulator-conditioned Driving Scene Generation

sensor calibration tools for autonomous driving and robotics

Development Kit for the MAN TruckScenes Dataset

[NeurIPS 2024] NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

[NeurIPS 2024] A Generalizable World Model for Autonomous Driving

Official Implementation of Self-Supervised Street Gaussians for Autonomous Driving

[NeurIPS 2024] NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

Official implementation of the paper “MagicDriveDiT: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control”

[Information Fusion 2025] A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion Perspective

Official implementation of the paper “MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes”

Bridging Large Vision-Language Models and End-to-End Autonomous Driving

[RA-L'24] DUFOMap: Efficient Dynamic Awareness Mapping

Code for paper "MapTracker: Tracking with Strided Memory Fusion for Consistent Vector HD Mapping", ECCV 2024 (Oral)

[CVPR 2024 Award Candidate] Producing and Leveraging Online Map Uncertainty in Trajectory Prediction

[ICRA 2024] Differentiable Joint Conditional Prediction and Cost Evaluation for Tree Policy Planning

World Model based Autonomous Driving Platform in CARLA :car:

[ECCV 2024] This is the official implementation of MapQR, an end-to-end method with an emphasis on enhancing query capabilities for constructing online vectorized maps.

Codebase for the WayveScenes101 Dataset

[ECCV 2024] Embodied Understanding of Driving Scenarios

💫 [CVPR 2024] LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis

Segment Anything Model for large-scale, vectorized road network extraction from aerial imagery. CVPRW 2024

NeuroNCAP benchmark for end-to-end autonomous driving

[CVPR 2024] SmartRefine: A Scenario-Adaptive Refinement Framework for Efficient Motion Prediction

Code for "DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT"

Python sample codes for robotics algorithms.

Open-source simulator for autonomous driving research.

An open autonomous driving platform

[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving

Autoware - the world's leading open-source software project for autonomous driving

[CVPR 2023 Best Paper Award] Planning-oriented Autonomous Driving

[ECCV 2022] This is the official implementation of BEVFormer, a camera-only framework for autonomous driving perception, e.g., 3D object detection and semantic map segmentation.

Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image Mat...

OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

[NeurIPS 2024] A Generalizable World Model for Autonomous Driving

Papers and Datasets about Point Cloud.

Collect some World Models for Autonomous Driving papers.

Python sample codes and documents about Autonomous vehicle control algorithm. In the future, I want to publish these ones as my own technical book for beginners.

[ICCV 2023] VAD: Vectorized Scene Representation for Efficient Autonomous Driving

A minimalist environment for decision-making in autonomous driving

国内首个占据栅格网络全栈课程《从BEV到Occupancy Network，算法原理与工程实践》，包含端侧部署。Surrounding Semantic Occupancy Perception Course for Autonomous Driving (docs, ppt and source code) 在线课程主页：http://111.229.117.200:8100/ (作者独立搭建...

Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.

[ECCV 2024 Oral] DriveLM: Driving with Graph Visual Question Answering

[CVPR 2024 Highlight] GenAD: Generalized Predictive Model for Autonomous Driving & Foundation Models in Autonomous System

[RA-L'24] DUFOMap: Efficient Dynamic Awareness Mapping

[Information Fusion 2025] A Survey on Occupancy Perception for Autonomous Driving: The Information Fusion Perspective

A novel visual tool

[NeurIPS 2024] NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking

[ECCV 2024] Embodied Understanding of Driving Scenarios

World Model based Autonomous Driving Platform in CARLA :car:

Official implementation of the paper “MagicDrive3D: Controllable 3D Generation for Any-View Rendering in Street Scenes”

[ECCV 2024] This is the official implementation of MapQR, an end-to-end method with an emphasis on enhancing query capabilities for constructing online vectorized maps.

[CVPR 2024 Award Candidate] Producing and Leveraging Online Map Uncertainty in Trajectory Prediction

[ICRA'24] DeFlow: Decoder of Scene Flow Network in Autonomous Driving

Source code for the article "GroundGrid: LiDAR Point Cloud Ground Segmentation and Terrain Estimation"

[ECCV'24] SeFlow: A Self-Supervised Scene Flow Method in Autonomous Driving

💫 [CVPR 2024] LiDAR4D: Dynamic Neural Fields for Novel Space-time View LiDAR Synthesis

Code for "DrivingWorld: Constructing World Model for Autonomous Driving via Video GPT"

Official implementation of the paper “MagicDriveDiT: High-Resolution Long Video Generation for Autonomous Driving with Adaptive Control”

This is the offical implementation of the paper "MCTrack: A Unified 3D Multi-Object Tracking Framework for Autonomous Driving"

Awesome papers and code about Multi-Camera 3D Occupancy Prediction, such as TPVFormer, SurroundOcc, PanoOcc, OccFormer, FB-OCC, SelfOcc, COTR, SparseOcc, GaussianFormer, GaussianOcc. In this repositor...

[CVPR 2024 Highlight] OpenESS: Event-Based Semantic Scene Understanding with Open Vocabularies

NeuroNCAP benchmark for end-to-end autonomous driving

Collect some World Models for Autonomous Driving papers.