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xuehait's Projects

autoware icon autoware

Open-source software for self-driving vehicles

ccm_slam icon ccm_slam

CCM-SLAM: Robust and Efficient Centralized Collaborative Monocular SLAM for Robotic Teams

cube_slam icon cube_slam

CubeSLAM: Monocular 3D Object Detection and SLAM

deep-learning-books icon deep-learning-books

Books for machine learning, deep learning, math, NLP, CV, RL, etc. 一些机器学习、深度学习等相关话题的书籍。

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

diancan icon diancan

sprnigboot和微信小程序实现点餐系统(全栈开发之微信小程序点餐)

evo icon evo

Python package for the evaluation of odometry and SLAM

fcn icon fcn

FCN by Keras/Tensorflow 遥感影像分类

joint-vo-sf icon joint-vo-sf

Fast Odometry and Scene Flow from RGB-D Cameras based on Geometric Clustering

keras-yolo3 icon keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

leetcode icon leetcode

Provide all my solutions and explanations in Chinese for all the Leetcode coding problems.

lego-loam icon lego-loam

LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain

loam_livox icon loam_livox

A robust LiDAR Odemetry and Mapping (LOAM) package for Livox-LiDAR

loam_velodyne icon loam_velodyne

Laser Odometry And Mapping (LOAM) SLAM ROS package for 3D Velodyne VLP-16 laser scanner

maplab icon maplab

An open visual-inertial mapping framework.

msckf_mono-1 icon msckf_mono-1

VIO_Learning. A simple implement of mono msckf in https://github.com/TurtleZhong/msckf_mono/tree/master/src/msckf_mine_1.0

msckf_vio icon msckf_vio

Robust Stereo Visual Inertial Odometry for Fast Autonomous Flight

openmvg-1 icon openmvg-1

open Multiple View Geometry library. Basis for 3D computer vision and Structure from Motion.

openvslam icon openvslam

OpenVSLAM: a Versatile Visual SLAM Framework

orb_slam2 icon orb_slam2

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

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