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Name: slam_study
Type: User
Name: slam_study
Type: User
Self-Driving Car Nanodegree Program Starter Code for the Unscented Kalman Filter Project
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
Provides ROS integration for Cartographer.
css_loam_velodyne
🎓Automatically Update CV Papers Daily using Github Actions (Update Every 12th hours)
A library containing keypoint detectors for the stable detection of interest points in laser measurements and two descriptors for robust associations.
Fast LOAM: Fast and Optimized Lidar Odometry And Mapping
Geometric Relation Distribution (GRD) for loop closure in LiDAR 2D mapping problems.
test
Interactive Map Correction for 3D Graph SLAM
Intensity Scan Context based full SLAM implementation for autonomous driving.
Learning-aided 3D mapping
A simple method for finding the extrinsic calibration between a 3D lidar and a 6-dof pose sensor
ROS package to find a rigid-body transformation between a LiDAR and a camera for http://arxiv.org/abs/1705.09785
Lidar-Monocular Visual Odometry
LiDAR-Inertial 3D Plane Simulator
Lidar Odometry and Mapping with Mutiple Metrics Linear Least Square ICP
this is back end slam frame work for loam loop closure
A robust LiDAR Odometry and Mapping (LOAM) package for Livox-LiDAR
LOL: Lidar-only Odometry and Localization in 3D point cloud maps
M2DP descriptor of a 3D point cloud
Official PyTorch Implementation for "Monocular 3D Object Detection with Pseudo-LiDAR Point Cloud", ICCVW 2019
Local Multiresolution Grids for Efficient 3D Laser Mapping and Localization
Relocalization and EKF correlative scan match in amcl
Extrinsic Calibration of a Odom and 2d Laser
Probabilistic line extraction from 2-D range scan
robot_localization is a package of nonlinear state estimation nodes. The package was developed by Charles River Analytics, Inc. Please ask questions on answers.ros.org.
SE(2)-Constrained Localization and Mapping by Fusing Odometry and Vision (IEEE Transactions on Cybernetics 2019)
A map representation based on 3D segments
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.