OpenPilot looks interesting, would love to try it out on a real car some day.
- Self Driving Cars [S1E2: ALVINN] (2019)
- Elon Musk: Tesla Autopilot (2019)
- Apollo - Open autonomous driving platform.
- OpenPilot - Open source driving agent.
- CARLA Simulator - Open-source simulator for autonomous driving research.
- Deep Reinforcement Learning for Autonomous Driving: A Survey (2020)
- Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving
- highway-env - Environment for autonomous driving decision-making.
- Cruise - Self-driving vehicle service.
- Aurora - Delivering the benefits of self-driving technology safely, quickly, and broadly.
- Zoox - Driving autonomously in ways that no one else has shown. (HN)
- Mobileye - Autonomous Driving & ADAS (Advanced Driver Assistance Systems).
- Einride - Making autonomous electric transport possible today. (GitHub)
- Going Driverless: How we developed a CAN library for Go (2020)
- SelfDriving.fyi - Comprehensive database of companies working on autonomous vehicles and related technologies.
- panda - Universal car interface.
- AirSim - Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research. (Docs)
- Tesla Autopilot AI
- George Hotz: Hacking the Simulation & Learning to Drive with Neural Nets (2020)
- Luminar - Making autonomous transportation safe with long-range, high resolution lidar and perception.
- comma.ai - Open source driving agent that runs on most cars. (Discord)
- comma10k - 10k crowdsourced images for training segnets.
- 75 Minutes of Autonomous Driving with Kyle Vogt and Sam Altman (2020)
- Oxbotica - Autonomous vehicle software company located in Oxford, UK.
- Why Tesla's Full Self-Driving Is Such A Big Deal: 4D Data Continuity & Trajectory Projection (2020)
- LIO-SAM - Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping.
- Neural Network Cars and Genetic Algorithms (2020)
- Scalability in Autonomus Driving Workshop - Andrej Karpathy (2020)
- Social Driving - Design multi-agent environments and simple reward functions such that social driving behavior emerges.
- FAST-LIO - Computationally efficient and robust LiDAR-inertial odometry (LIO) package.
- Awesome Lane Detection
- SMARTS - Scalable Multi-Agent RL Training School for Autonomous Driving.
- Duckietown - Self-driving car simulator for the Duckietown universe. (Code)
- R2LIVE - Robust, Real-time, LiDAR-Inertial-Visual tightly-coupled state Estimator and mapping.
- Five - AV development and safety assurance.
- Transitioning to Tesla Vision (2021) (HN)
- Andrej Karpathy (Tesla): CVPR 2021 Workshop on Autonomous Vehicles (2021) (HN) (Summary)
- XVIZ - Protocol for real-time transfer and visualization of autonomy data.
- SemanticKITTI - Dataset for LiDAR-based Semantic Scene Understanding.
- SemanticKITTI API - Helper scripts to open, visualize, process, and evaluate results for point clouds and labels from the SemanticKITTI dataset.
- Tesla Safety Score - Assessment of your driving behavior based on five metrics called Safety Factors.
- Self-Parking Car in 500 Lines of Code (2021) (Lobsters) (HN)
- Self-Parking Car Evolution - Training the car to do self-parking using genetic algorithm. (Code)
- Samples for TensorRT/Deepstream for Tesla & Jetson
- Gym environments and agents for autonomous driving
- OATomobile - Research framework for autonomous driving.
- Learn-to-Race - Open-source autonomous racing.
- R3LIVE: Robust, Real-time, RGB-colored, LiDAR-Inertial-Visual tightly-coupled state Estimation and mapping package
- Cruise Under The Hood 2021 - YouTube
- HN: Cruise is opening driverless cars to the public in San Francisco (2022)
- CT-ICP: Elastic SLAM for LiDAR sensors
- You don't ever own an electric vehicle (2022) (HN)
- Cam2BEV - TensorFlow Implementation for Computing a Semantically Segmented Bird's Eye View (BEV) Image Given the Images of Multiple Vehicle-Mounted Cameras.
- Quatro - Fast and robust global registration for terrestrial robots.
- Awesome CARLA - CARLA has been developed from the ground up to support development, training, and validation of autonomous driving systems.
- CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation (2022) (Code)
- YOLOP: You Only Look Once for Panoptic Driving Perception (2022) (Code)
- Learning from All Vehicles (2022) (Code)
- OpenCDA - Generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.
- BEVFormer: Learning Bird's-Eye-View Representation from Multi-Camera Images via Spatiotemporal Transformers (2022) (Code)
- Dataset Governance Policy (DGP) - ML Dataset Governance Policy for Autonomous Vehicle Datasets.
- HelixNet Toolbox - Dataset presented in the "Online Segmentation of LiDAR Sequences: Dataset and Algorithm" paper.
- Nocturne - 2D driving simulator, built in C++ for speed and exported as a Python library.
- Autonomous Driving Data Framework (ADDF)
- Autoware - Open-source software stack for self-driving vehicles, built on the Robot Operating System (ROS).
- LaserMix for Semi-Supervised LiDAR Semantic Segmentation (2022) (Code)
- HN: Andrej Karpathy leaves Tesla (2022)
- Awesome BEV Perception from Multi-Cameras
- Awesome BEV perception papers and cookbook for achieving SOTA results
- OpenLane - Large-scale Realistic 3D Lane Dataset.
- A Simple Baseline for BEV Perception Without LiDAR (2022) (Code)
- Visual Navigation for Autonomous Vehicles (VNAV) MIT Course (2022) (Code)
- Tesla Vision Update: Replacing Ultrasonic Sensors with Tesla Vision (2022) (HN)
- Towards End-to-End Lane Detection: an Instance Segmentation Approach (2022) (Code)
- Andrej Karpathy: Why Tesla Removed Radar and Ultrasonic Sensors (2022) (HN)
- ACSC - Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems.
- SensorsCalibration - Multi-sensor Calibration Toolbox for Autonomous Driving.
- Single-Shot is Enough: Panoramic Infrastructure Based Calibration of Multiple Cameras and 3D LiDARs
- PytorchAutoDrive: Framework for self-driving perception
- LAStools - Efficient tools for LiDAR processing.
- Self-Driving Cars — Andreas Geiger
- TPVFormer: Academic alternative to Tesla's Occupancy Network
- PODA: Prompt-driven Zero-shot Domain Adaptation (2022)
- ALSO: Automotive Lidar Self-supervision by Occupancy estimation (2022)
- Tesla Full Self-Driving data looks awful (2022)
- Tesla FSD promises are lies
- Waymo's collision avoidance testing (2022) (HN)