leusbur

apollo

An open autonomous driving platform

slambook2

edition 2 of the slambook

OpticalFlow-movingTargetDetection

OpticalFlow

利用光流法进行运动目标检测

ByteTrack

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

DeepSORT

support deepsort and bytetrack MOT(Multi-object tracking) using yolov5 with C++

CVPR2022-Autonomous-Driving

surround-view-system-introduction

A full Python implementation for real car surround view system

PerspectiveTransform

进行畸变矫正，以及使用单应矩阵H进行逆透视变换成IPM图

BirdViewTransform

4个不同方向的相机，将其鸟瞰变化后，进行拼接，得到车辆及周围区域的鸟瞰视角图 Put FOUR image(or video stream) from 4 different directions together, and form them into a bird view.

awesome-fisheye-pinhole-camera-calibration

本工程完成了鱼眼模型、针孔模型的标定，以及使用初值的标定。

fisheye_opencv

基于opencv的鱼眼相机的图像矫正

Tools_KITTI2FishEye

Rebuild the Fisheye dataset from the normal dataset. (Based on KITTI dataset)

camera_calibration

normal, fisheye, mono, stereo camera calibration

fisheye_calibrate

uvc鱼眼相机的标定

mars-fisheye-correct

A simple fisheye distortion correction program

calicam_mono

CaliCam_Mono: Various Fisheye Rectification Modes

Fish-eye-Image-Correction-Code

This is my paper "Correction of single circular fisheye image" related program code

fisheye_calibration

鱼眼摄像头畸变校正代码。内含两个版本，分别基于opencv2和opencv3，支持图片矫正和USB摄像头实时畸变矫正。

CameraModel

C++ implementation of camera models in SLAM, see https://blog.csdn.net/OKasy/article/details/90665534.

360Surround

360环视相机校正-去畸变-俯视变换-图像拼接-图像融合

opencv-python

通过模板匹配的方式，实现四种交通标志的识别

TSRA

Traffic Sign Recognition Assistant

TrafficSignRecognition

数字图像处理，利用Open CV对图像进行二值化，中值滤波降噪，图像空洞进行处理，图像形态学处理，找出检测对象，并进行标记。ORB 进行特征向量提取，识别目标。

Apollo-Note

Note for Apollo 3.0 perception, prediction and planning modules

EKF-IMM

An EKF filter based Interacting Multiple Model applied in 2D object maneuver modeling.

frenet_path_planning

无人车路径规划算法demo

barefoot

Java map matching library for integrating the map into software and services with state-of-the-art online and offline map matching that can be used stand-alone and in the cloud.