openpilot is an open source driver assistance system. openpilot performs the functions of Automated Lane Centering and Adaptive Cruise Control for 250+ supported car makes and models.

《Hello 算法》：动画图解、一键运行的数据结构与算法教程，支持 Java, C++, Python, Go, JS, TS, C#, Swift, Rust, Dart, Zig 等语言。

This repository is an official implementation of ADAPT: Action-aware Driving Caption Transformer, accepted by ICRA 2023.

[ECCV 2022] ByteTrack: Multi-Object Tracking by Associating Every Detection Box

[ECCV2022 oral] Perspective Transformer on 3D Lane Detection

You Only Look Once for Panopitic Driving Perception.（https://arxiv.org/abs/2108.11250）

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

This is a toolbox repository to help evaluate various methods that perform image matching from a pair of images.

YOLOX is a high-performance anchor-free YOLO, exceeding yolov3~v5 with MegEngine, ONNX, TensorRT, ncnn, and OpenVINO supported. Documentation: https://yolox.readthedocs.io/

[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: A Survey

MonoLayout: Amodal Scene Layout from a single image

Code for "LoFTR: Detector-Free Local Feature Matching with Transformers", CVPR 2021

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60个国家的400所大学用于教学。

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

Lift, Splat, Shoot: Encoding Images from Arbitrary Camera Rigs by Implicitly Unprojecting to 3D (ECCV 2020)

Implementation of "TrackFormer: Multi-Object Tracking with Transformers”. [Conference on Computer Vision and Pattern Recognition (CVPR), 2022]

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

End-to-End Object Detection with Transformers

A paper list about collaborative perception.

Crosswalks Detection project for Computer Vision and Machine Perception course at University of Basilicata, Computer Science and Engineering

Estimating distance to objects in the scene using detection information

Official PyTorch code for 'Translating Images Into Maps' ICRA 2022

Deformable DETR: Deformable Transformers for End-to-End Object Detection.

Implementation of "Tracking without bells and whistles” and the multi-object tracking "Tracktor"

SuperGlue: Learning Feature Matching with Graph Neural Networks (CVPR 2020, Oral)

Simultaneous object detection and tracking using center points.

A PyTorch implementation of the ICRA 2020 paper 'End-to-end Learning for Inter-Vehicle Distance and Relative Velocity Estimation in ADAS with a Monocular Camera'.