hanhan119 Goto Github PK

acsc

Automatic Calibration for Non-repetitive Scanning Solid-State LiDAR and Camera Systems

apollo

An open autonomous driving platform

carnd-lanelines-p1

Lane Finding Project for Self-Driving Car ND

cartographer_ros

Provides ROS integration for Cartographer.

chinese-independent-blogs

中文独立博客列表

cnblog-mouse

博客园鼠标特效. Demo 地址

dig-into-apollo

Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.

fast_lio

A computationally efficient and robust LiDAR-inertial odometry (LIO) package

fastergicp

an improvement of fast_gicp

gps_imu_kalman_filter

Fusing GPS, IMU and Encoder sensors for accurate state estimation.

hanhan119

Config files for my GitHub profile.

hanhan119.github.io

hdl_graph_slam

3D LIDAR-based Graph SLAM

hdl_localization

Real-time 3D localization using a (velodyne) 3D LIDAR

hexo-theme-butterfly

🦋 A Hexo Theme: Butterfly

larvio

A lightweight, accurate and robust monocular visual inertial odometry based on Multi-State Constraint Kalman Filter.

lego-loam-bor

LeGO-LOAM-BOR: optimized Lidar Odometry and Mapping

libtorchuseage

using libtorch inros

lio-livox

A Robust LiDAR-Inertial Odometry for Livox LiDAR

livox_camera_calib

This repository is used for automatic calibration between high resolution LiDAR and camera in targetless scenes.

livox_horizon_loam

Livox horizon porting for loam

map_compression

Implementation of a T-ITS paper: 3D LiDAR Map Compression for Efficient Localization on Resource Constrained Vehicles

matlabplotcheatsheet

A cheatsheet for those who plot with MATLAB

modole_and_select

monocular-localization-with-vector-hd-map

Monocular Localization with Vector HD map

orb_slam2_ssd_semantic

动态语义SLAM 目标检测+VSLAM+光流/多视角几何动态物体检测+octomap地图+目标数据库

probabilistic_robotics

solution of exercises of the book "probabilistic robotics"

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

r2live

R2LIVE is a robust, real-time tightly-coupled multi-sensor fusion framework, which fuses the measurement from the LiDAR, inertial sensor, visual camera to achieve robust, accurate state estimation.

recent_slam_research

Track Advancement of SLAM 跟踪SLAM前沿动态【2021 version】