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Name: Frank
Type: User
Bio: mobile robot
Name: Frank
Type: User
Bio: mobile robot
Ground-based Collision Avoidance
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse matrices.
Visual localization made easy
Interactive Map Correction for 3D Graph SLAM
IROS2020 paperlist by paopaorobot
Bag files captured using a Clearpath Jackal Robot, which is equipped with a Velodyne VLP-16 and low-end IMU sensor. The published point cloud topic is \velodyne_points. The published IMU data topic is \imu\data.
Index repo for Kimera code
Visual Inertial Odometry with SLAM capabilities and 3D Mesh generation.
Code for "Self-Supervised 3D Keypoint Learning for Ego-motion Estimation"
李宏毅《机器学习》笔记,在线阅读地址:https://datawhalechina.github.io/leeml-notes
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
LeGO-LOAM代码注释与学习
LiLi-OM is a tightly-coupled, keyframe-based LiDAR-inertial odometry and mapping system for both solid-state-LiDAR and conventional LiDARs.
Lidar-Monocular Visual Odometry
Ground Segmentation
A Lidar-Inertial State Estimator for Robust and Efficient Navigation based on iterated error-state Kalman filter
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
A simple system that can relocalize a robot on a built map is developed in this system. The system is based on LIO-SAM.
A relocalization package for Livox LiDARs.
Lidar Odometry and Mapping with Mutiple Metrics Linear Least Square ICP
Adjust the original LOAM to a multi-threaded version which doesn't require ROS.
A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
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.
An open visual-inertial mapping framework.
Hard-fork of ROVIO to integrate localization.
3D printed Curiosity/Perseverance inspired Rover
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.