Pinned Repositories
3D-LIDAR-Multi-Object-Tracking
3D-MOT(点云多目标检测和追踪C++) （2020 · 秋） 代码有详细注解
A-LOAM
Advanced implementation of LOAM
A-LOAM-NOTED
Chinese annotated version of A-LOAM
ACSC
Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems
adaptive_clustering
Lightweight and Accurate Point Cloud Clustering
alignment_kang
implementation of alignment algorithm of Kang's paper Automatic targetless camera–LIDAR calibration by aligning edge with Gaussian mixture model DOI: 10.1002/rob.21893
apollo
An open autonomous driving platform
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
deep-learning-from-scratch
Source code from the book 【深度学习入门-基于Python的理论与实现】
pytorch-handbook
pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行
callmebylxh's Repositories
callmebylxh/deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
callmebylxh/awesome-autonomous-vehicle
无人驾驶的资源列表中文版
callmebylxh/awesome-lidar
😎 Awesome LIDAR list. The list includes LIDAR manufacturers, datasets, point cloud-processing algorithms, point cloud frameworks and simulators.
callmebylxh/Awesome-LiDAR-Camera-Calibration
A Collection of LiDAR-Camera-Calibration Papers, Toolboxes and Notes
callmebylxh/awesome-point-cloud-analysis
A list of papers and datasets about point cloud analysis (processing)
callmebylxh/cam_lidar_calibration
This package estimates the calibration parameters that transforms the camera frame (parent) into the lidar frame (child)
callmebylxh/CamVox
[ICRA2021] A low-cost SLAM system based on camera and Livox lidar.
callmebylxh/CenterNet3d
CenterNet3D An Anchor free Object Detector for Autonomous Driving
callmebylxh/CPlusPlus20ForProgrammers
Code examples for our book _C++ 20 for Programmers_ (Pearson, 2020)
callmebylxh/Dive-into-DL-PyTorch
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
callmebylxh/easy_handeye
Automated, hardware-independent Hand-Eye Calibration
callmebylxh/FAST_LIO_MeiyuanXiang
FAST_LIO相关论文、代码中文注释以及代码改动
callmebylxh/gnss-ins-sim
Open-source GNSS + inertial navigation, sensor fusion simulator. Motion trajectory generator, sensor models, and navigation
callmebylxh/kalibr
The Kalibr visual-inertial calibration toolbox
callmebylxh/LCCNet
Official PyTorch implementation of the paper “LCCNet: Lidar and Camera Self-Calibration usingCost Volume Network”.
callmebylxh/learnopencv
Learn OpenCV : C++ and Python Examples
callmebylxh/leetcode
LeetCode题解，151道题完整版
callmebylxh/leetcode-master
LeetCode 刷题攻略：200道经典题目刷题顺序，共60w字的详细图解，视频难点剖析，50余张思维导图，支持C++，Java，Python，Go，JavaScript等多语言版本，从此算法学习不再迷茫！🔥🔥 来看看，你会发现相见恨晚！🚀
callmebylxh/leetcode_101
LeetCode 101：和你一起你轻松刷题（C++）
callmebylxh/LeGO-LOAM
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
callmebylxh/LiDAR_SOT
callmebylxh/LIO-SAM
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
callmebylxh/Multi-Object-Tracking
A fast object tracking method by using JPDA-IMM-UKF.
callmebylxh/multicam_calibration
callmebylxh/ORB_SLAM
A Versatile and Accurate Monocular SLAM
callmebylxh/ORB_SLAM2_detailed_comments
Detailed comments for ORB-SLAM2 with trouble-shooting, key formula derivation, and diagrammatic drawing
callmebylxh/TechCPP
【C++面试&C++学习指南】 这里整理了C++后端研发工程师面试和工作必备的知识点 。
callmebylxh/TNN
TNN: developed by Tencent Youtu Lab and Guangying Lab, a lightweight and high-performance deep learning framework for mobile inference. TNN is distinguished by several outstanding features, including its cross-platform capability, high performance, model compression and code pruning. Based on ncnn and Rapidnet, TNN further strengthens the support and performance optimization for mobile devices, and also draws on the advantages of good extensibility and high performance from existed open source efforts. TNN has been deployed in multiple Apps from Tencent, such as Mobile QQ, Weishi, Pitu, etc. Contributions are welcome to work in collaborative with us and make TNN a better framework. TNN：由腾讯优图实验室和光影实验室协同打造，移动端高性能、轻量级推理框架，同时拥有跨平台、高性能、模型压缩、代码裁剪等众多突出优势。TNN框架在原有Rapidnet、ncnn框架的基础上进一步加强了移动端设备的支持以及性能优化，同时也借鉴了业界主流开源框架高性能和良好拓展性的优点。目前TNN已经在手Q、微视、P图等应用中落地，欢迎大家参与协同共建，促进TNN推理框架进一步完善。
callmebylxh/ukfm
Unscented Kalman Filtering on (Parallelizable) Manifolds (UKF-M)
callmebylxh/versavis
An Open Versatile Multi-Camera Visual-Inertial Sensor Suite