Stars
Code for RSS 2024 Paper "POAM: Probabilistic Online Attentive Mapping for Efficient Robotic Information Gathering"
Estimation of 2D odometry based on planar laser scans. Useful for mobile robots with innacurate base odometry. For full description of the algorithm, please refer to: Planar Odometry from a Radial …
A trajectory planning framework for multiple robots: paper accepted in IEEE T-RO
DynaVINS : A Visual-Inertial SLAM for Dynamic Environments
COVINS-(G) -- A (Generic) Framework for Collaborative Visual-Inertial SLAM and Multi-Agent 3D Mapping
A lightweight, object-oriented finite state machine implementation in Python with many extensions
"Multi-robot Coordination with Agent-Server Architecture for Autonomous Navigation in Partially Unknown Environments", IROS 2020
Repository for project VIR-SLAM, Visual, Inertial, and Ranging SLAM for Single and Multi-Robot Systems
LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
Vision-based quadrotor fault-tolerant flight controller.
Collaborative Localization for Multiple Monocular Visual-Inertial Systems
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
A collection of deep learning based localization models
A PowerPoint add-in to insert LaTeX equations into PowerPoint presentations on Windows and Mac
Tooling for professional robotic development in C++ and Python with a touch of ROS, autonomous driving and aerospace.
Track Advancement of SLAM 跟踪SLAM前沿动态【2021 version】業務調整，暫停更新
Easy to use tools to create and edit trajectories for the rviz camera.
[DEMO] links Intel RealSense T265 (tracking-camera) & Intel RealSense D435i (depth-camera) via roboter-operating-system (ROS) for generating a trackable point-cloud image dataset in the "real world"
art-mx / leica_ros_sph
Forked from georgwi/leica_ros_sphROS node for reading Leica Totalstation measurements
A large scale non-linear optimization library
A real-time robust monocular visual SLAM system based on ORB-SLAM for fisheye cameras, without rectifying or cropping the input images