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🤖 𝗟𝗲𝗮𝗿𝗻 for 𝗳𝗿𝗲𝗲 how to 𝗯𝘂𝗶𝗹𝗱 an end-to-end 𝗽𝗿𝗼𝗱𝘂𝗰𝘁𝗶𝗼𝗻-𝗿𝗲𝗮𝗱𝘆 𝗟𝗟𝗠 & 𝗥𝗔𝗚 𝘀𝘆𝘀𝘁𝗲𝗺 using 𝗟𝗟𝗠𝗢𝗽𝘀 best practices: ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 12 𝘩𝘢𝘯𝘥𝘴-𝘰𝘯 𝘭𝘦𝘴𝘴𝘰𝘯𝘴
A collection of recent papers on building autonomous agent. Two topics included: RL-based / LLM-based agents.
This project for self-driving cars learning
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
Learn how to use CARLA with basic APIs
A generalized framework for prototyping full-stack cooperative driving automation applications under CARLA+SUMO.
[CVPR2023 Highlight] The official codebase for paper "V2V4Real: A large-scale real-world dataset for Vehicle-to-Vehicle Cooperative Perception"
An SDK for multi-agent collaborative perception.
[ICRA 2022] An opensource framework for cooperative detection. Official implementation for OPV2V.
12 Weeks, 24 Lessons, AI for All!
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
Images to inference with no labeling (use foundation models to train supervised models).
[ICLR'23 Spotlight & IJCV'24] MapTR: Structured Modeling and Learning for Online Vectorized HD Map Construction
OpenCalib: A Multi-sensor Calibration Toolbox for Autonomous Driving
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Awesome Monocular 3D detection
LiPC: LiDAR Point Cloud Clustering Benchmark Suite
DynaVINS : A Visual-Inertial SLAM for Dynamic Environments
An EKF-Based GNSS/INS Integrated Navigation System
Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.
🔥3D-MOT(点云多目标检测和追踪C++) （2020 · 秋） 代码有详细注解
Ground segmentation benchmark in SemanticKITTI dataset
Lidar-IMU Localization System with Prior Map Constraint and Lio Constraint
3D Object Detection for Autonomous Driving: A Comprehensive Survey (IJCV 2023)