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tactics2d

Tactics2D: A Reinforcement Learning Environment Library with Generative Scenarios for Driving Decision-making

awesome-knowledge-driven-AD

A curated list of awesome knowledge-driven autonomous driving (continually updated)

SIMPL

SIMPL: A Simple and Efficient Multi-agent Motion Prediction Baseline for Autonomous Driving

Awesome-RGBT-Fusion

A collection of deep learning based RGB-T-Fusion methods, codes, and datasets. The main directions involved are Multispectral Pedestrian Detection, RGB-T Aerial Object Detection, RGB-T Semantic Segmentation, RGB-T Crowd Counting, RGB-T Fusion Tracking.

GPT-Driver

Learning to Drive with GPT

data-augmentation-review

List of useful data augmentation resources. You will find here some not common techniques, libraries, links to GitHub repos, papers, and others.

Automold--Road-Augmentation-Library

This library augments road images to introduce various real world scenarios that pose challenges for training neural networks of Autonomous vehicles. Automold is created to train CNNs in specific weather and road conditions.

UniAD

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

Predictive-Decision

[ITSC 2023] Predictive Decision-making Framework with Interaction-aware Motion Forecasting Model

CppTemplates

Cpp Templates

CampusShame

互联网仍有记忆！那些曾经在校招过程中毁过口头offer、意向书、三方的公司！纵然人微言轻，也想尽绵薄之力！

argoverse-api

Official GitHub repository for Argoverse dataset

TNT-Trajectory-Prediction

A Unofficial Pytorch Implementation of TNT: Target-driveN Trajectory Prediction

yet-another-vectornet

Vectornet for trajectory prediction, implemented in PyTorch/Torch_geometric

VectorNet

VectorNet: Encoding HD Maps and Agent Dynamics from Vectorized Representation, partial function re-implement

argoverse-forecasting

Official Repository for Argoverse Motion Forecasting Baselines

Awesome-Trajectory-Motion-Prediction-Papers

How-to-run

立党零基础转码笔记

BEVFormer

[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.

Vision-Centric-BEV-Perception

Vision-Centric BEV Perception: A Survey

Awesome-BEV-Perception-Multi-Cameras

Awesome papers about Multi-Camera 3D Object Detection and Segmentation in Bird's-Eye-View, such as DETR3D, BEVDet, BEVFormer, BEVDepth, UniAD

cross_view_transformers

Cross-view Transformers for real-time Map-view Semantic Segmentation (CVPR 2022 Oral)

PanopticBEV

Bird's-Eye-View Panoptic Segmentation Using Monocular Frontal View Images. http://panoptic-bev.cs.uni-freiburg.de

alfred

alfred-py: A deep learning utility library for **human**, more detail about the usage of lib to: https://zhuanlan.zhihu.com/p/341446046

awesome-attention-mechanism-in-cv

Awesome List of Attention Modules and Plug&Play Modules in Computer Vision

Ultra-Fast-Lane-Detection

Ultra Fast Structure-aware Deep Lane Detection (ECCV 2020)

HDMapNet

detr3d

OpenPCDet

OpenPCDet Toolbox for LiDAR-based 3D Object Detection.

EPSILON