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autonomous_vehicle-chinese-

Chinese Edition

awesome-radar-perception

A curated list of radar datasets, detection, tracking and fusion

cpp_primer_practice

搞定C++:punch:。C++ Primer 中文版第5版学习仓库，包括笔记和课后练习答案。

grid_map

Universal grid map library for mobile robotic mapping

imgui_demo

imgui demo test, using cmake glfw opengl3

lee-slam-source

SLAM 开发学习资源与经验分享

matplotlib-cpp

Extremely simple yet powerful header-only C++ plotting library built on the popular matplotlib

millieye

Repo for IoTDI 2021 paper: "milliEye: A Lightweight mmWave Radar and Camera Fusion System for Robust Object Detection".

my_visualodometry

Handwritten simplified visualodometry, based on the book 《视觉SLAM十四讲》, chapter 13.

occupancygridmapping

orb-slam2_improve

1 with OpenCV 4.5

papers_books_notes

Papers and Basic knowledge books related to autonomous driving,

reproducible-image-denoising-state-of-the-art

Collection of popular and reproducible image denoising works.

slam_in_autonomous_driving

《自动驾驶中的SLAM技术》对应开源代码

smarterstreaming

国内外为数不多致力于极致体验的超强全自研跨平台(windows/android/iOS)流媒体内核，通过模块化自由组合，支持实时RTMP推流、RTSP推流、RTMP播放器、RTSP播放器、录像、多路流媒体转发、音视频导播、动态视频合成、音频混音、直播互动、内置轻量级RTSP服务等，比快更快，业界真正靠谱的超低延迟直播SDK(1秒内，低延迟模式下200~400ms)。

teb_local_planner

An optimal trajectory planner considering distinctive topologies for mobile robots based on Timed-Elastic-Bands (ROS Package)

vins-fusion

An optimization-based multi-sensor state estimator

visual-slambook2-excercises

In the process of learning the book<slambook2>, record the knowledge points and try to answer the exercises after class.

vo-slam-review

SLAM is mainly divided into two parts: the front end and the back end. The front end is the visual odometer (VO), which roughly estimates the motion of the camera based on the information of adjacent images and provides a good initial value for the back end.The implementation methods of VO can be divided into two categories according to whether features are extracted or not: feature point-based methods, and direct methods without feature points. VO based on feature points is stable and insensitive to illumination and dynamic objects

xmind

My Mind Mapping