Pinned Repositories
bestJavaer
这是一个成为更好的Java程序员的系列教程
eladmin
项目基于 Spring Boot 2.1.0 、 Jpa、 Spring Security、redis、Vue的前后端分离的后台管理系统，项目采用分模块开发方式， 权限控制采用 RBAC，支持数据字典与数据权限管理，支持一键生成前后端代码，支持动态路由
GNSSAMS
基于PyQt5开发的前后端GUI桌面、导航定位与测量综合系统软件
GPS_systems
仿写vue-admin
IMU-GNSS-Lidar-sensor-fusion-using-Extended-Kalman-Filter-for-State-Estimation
State Estimation and Localization of an autonomous vehicle based on IMU (high rate), GNSS (GPS) and Lidar data with sensor fusion techniques using the Extended Kalman Filter (EKF).
Kalman
Some Python Implementations of the Kalman Filter
Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
kalman-filter-localization
Implementation of sensor fusion using Kalman Filters for localization of autonomous vehicles.
sensor-fusion
Filters: KF, EKF, UKF || Process Models: CV, CTRV || Measurement Models: Radar, Lidar
sign-system
面向辅导员和老师的高校智能定位签到系统，具有GPS定位、人脸识别、BSSID验证、IP验证、密令验证、二维码验证等多项功能（Web端前端界面）（College Intelligent Location Check-in System for Counselors and Teachers has many functions such as GPS positioning, face recognition, BSSID verification, IP verification, password verification, two-dimensional code verification and so on (front-end interface of Web end)）
Tlq857's Repositories
Tlq857/sensor-fusion
Filters: KF, EKF, UKF || Process Models: CV, CTRV || Measurement Models: Radar, Lidar
Tlq857/sign-system
面向辅导员和老师的高校智能定位签到系统，具有GPS定位、人脸识别、BSSID验证、IP验证、密令验证、二维码验证等多项功能（Web端前端界面）（College Intelligent Location Check-in System for Counselors and Teachers has many functions such as GPS positioning, face recognition, BSSID verification, IP verification, password verification, two-dimensional code verification and so on (front-end interface of Web end)）
Tlq857/bestJavaer
这是一个成为更好的Java程序员的系列教程
Tlq857/eladmin
项目基于 Spring Boot 2.1.0 、 Jpa、 Spring Security、redis、Vue的前后端分离的后台管理系统，项目采用分模块开发方式， 权限控制采用 RBAC，支持数据字典与数据权限管理，支持一键生成前后端代码，支持动态路由
Tlq857/GNSSAMS
基于PyQt5开发的前后端GUI桌面、导航定位与测量综合系统软件
Tlq857/GPS_systems
仿写vue-admin
Tlq857/IMU-GNSS-Lidar-sensor-fusion-using-Extended-Kalman-Filter-for-State-Estimation
State Estimation and Localization of an autonomous vehicle based on IMU (high rate), GNSS (GPS) and Lidar data with sensor fusion techniques using the Extended Kalman Filter (EKF).
Tlq857/Kalman
Some Python Implementations of the Kalman Filter
Tlq857/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
Tlq857/kalman-filter-localization
Implementation of sensor fusion using Kalman Filters for localization of autonomous vehicles.
Tlq857/PythonRobotics
Python sample codes for robotics algorithms.
Tlq857/Luckysheet-demo
对开源软件luckysheet的二次开发
Tlq857/luckysheet-vue-importAndExport
luckysheet的应用案例