static analysis of C/C++ code

Enhanced Valgrind for Persistent Memory

https://learnopengl.com 系列教程的简体中文翻译

Code repository of all OpenGL chapters from the book and its accompanying website https://learnopengl.com

radarGUI是一个雷达数据处理软件，它使用QT开发，主要包括界面显示、参数下发及数据接收、目标跟踪等部分

Static reflection for enums (to string, from string, iteration) for modern C++, work with any enum type without any macro or boilerplate code

A pleasant note-taking platform in native C++.

基于Qt开发的小工具包

Qt Code Editor widget.

A light-weight C/C++ IDE based on Qt

Qt编写的一些开源的demo，预计会有100多个，一直持续更新完善，代码简洁易懂注释详细，每个都是独立项目，非常适合初学者，代码随意传播使用，拒绝打赏和捐赠，欢迎留言评论！公众号：Qt实战/Qt入门和进阶/Qt教程

Source code to develop CNNs for automatic target recognition of synthetic aperture radar imaging

Adjust the original LOAM to a multi-threaded version which doesn't require ROS.

Fast Library for Approximate Nearest Neighbors

Automatic Extrinsic Calibration Method for LiDAR and Camera Sensor Setups. ROS Package.

Projection from 3D LiDAR point cloud to 2D Image. KITTI dataset provided by https://www.cvlibs.net/datasets/kitti/eval_road.php

ROS-free implementation of LOAM

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

kitti数据集把连续几个雷达点云拼起来

点云库PCL从入门到精通 书中配套案例

OpenCV-Python 相机标定及矫正，张正友相机标定法

多雷达航迹关联

This is a program that fuses millimeter wave radar and camera information. At the same time, yolov4 is used for target detection.

The program deploys a decision making algorithm to run an autonomous car in the city. This car acts as a taxi and customers will request for the car from throughout the city. The car can also get d…

cone detection, lidar camera fusion, middleline, autonomous driving, ROS

camera object tracking，lidar object tracking, camera and lidar fusion object tracking

Personal work on sensor fusion for self-driving cars. Including Lidar, Camera, Radar, and Fusion techniques.

Sensor Fusion, Project 3: 3D Object Tracking

Collision Avoidance System with Camera and Lidar - Track an Object in 3D Space - Object Detection with YOLO - Descriptors and Keypoint Matching