liwei-x Goto Github PK

general-descriptors-in-cv

genpac

PAC/Dnsmasq/Wingy file Generator, working with gfwlist, support custom rules.

github520

:kissing_heart: 让你“爱”上 GitHub，解决访问时图裂、加载慢的问题。（无需安装）

gps-imu-fusion

Robot Localization

gps_imu_kalman_filter

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

hierarchical-localization

⛳️ Add a new image retrieval method to hloc, ranking 2nd (and 3rd) on Aachen Day-Night (v1.1)

im_robot

智能制造机器人开发记录

imu_gps_localization

Localization

imu_x_fusion

IMU + X(GNSS, VO) Loose Fusion Localization based on ESKF

indoorpos

This is a program built for indoor positioning based on iBeacon. 这是一个采用iBeacon技术的室内定位程序，里面包含了三种定位算法，三边定位算法、加权三边定位算法和三角形加权质心定位算法。

interactive_slam

Interactive Map Correction for 3D Graph SLAM

kalibr

The Kalibr calibration toolbox

kalman_filter

a lidar and radar fusion project from udacity

learn-git-in-30-days

這是 Will 保哥在 2013 第 6 屆 iT 邦幫忙鐵人賽年度大獎的得獎著作【30 天精通 Git 版本控管】，歡迎大家 fork 我，如果有看見任何文字勘誤，也歡迎利用 pull request 來通知我修正，謝謝！

learn-self-driving-vehicle

无人驾驶相关学习

learnopencv

Learn OpenCV : C++ and Python Examples

lidar-iris

LiDAR Iris for Loop-Closure Detection(IROS 2020)

lidar_camera_calibration

ROS package to find a rigid-body transformation between a LiDAR and a camera for "LiDAR-Camera Calibration using 3D-3D Point correspondences"

lidar_radar_fusion_ekf_ukf

Lidar and Radar Fusion with EKF and UKF

linesegmentsdetection

📐A collection of line segments detection algorithms.

linesfm

lio-sam_based_relocalization

A simple system that can relocalize a robot on a built map is developed in this system. The system is based on LIO-SAM.

localization_robot_infantry

sensors: Consumer GPS, 16 line lidar, Consumer IMU, wheel Odometry

location

Smartphone navigation positionning, fusion GPS and IMU sensors.

loitor_driver

lvio_fusion

Lvio-Fusion: A Self-adaptive Multi-sensor Fusion SLAM Framework Using Actor-critic Method (IROS 2021)

lvio_fusion_recorder

map-based-visual-localization

A general framework for map-based visual localization. It contains 1) Map Generation which support traditional features or deeplearning features. 2) Hierarchical-Localizationvisual in visual(points or line) map. 3)Fusion framework with IMU, wheel odom and GPS sensors.

mapandlocation

定位及高精地图技术文档

mobilenetv2_netvlad

Netvlad using lightweight framework mobilenetv2 for feature extraction！Created by Ze Huang.