Showing 41-60 of 93 projects
A C++ library for visual-inertial odometry and simultaneous localization and mapping (SLAM) with 3D mesh generation.
This repository contains research related to visual and semantic SLAM (Simultaneous Localization and Mapping) for developers working with computer vision and robotics.
Provides ROS integration for Cartographer, a system for real-time SLAM in 2D and 3D environments.
A curated list of radar datasets, detection, tracking and fusion for autonomous driving and vehicles.
A Vue-based chat application with real-time functionality
Open-source video pose engine for geometric 3D perception using Python.
A C++ library for real-time state estimation and mapping using a 3D lidar sensor.
A small C++11 header-only library for Lie theory, used in computer vision, robotics, and SLAM.
A tutorial for 3D vision tasks like reconstruction, SLAM, and camera calibration using OpenCV.
Detailed comments for ORB-SLAM2, a popular C++ library for real-time monocular, stereo and RGB-D SLAM.
A curated list of awesome SLAM tutorials, projects and communities for developers working with computer vision and robotics.
A roadmap to become a Visual SLAM (Simultaneous Localization and Mapping) developer in 2023.
A versatile and accurate open-source monocular SLAM library for computer vision and robotics applications.
A fast symbolic computation library for robotics, with capabilities like code generation and nonlinear optimization.
NICE-SLAM is a neural implicit approach for scalable 3D reconstruction and localization.
A comprehensive list of Implicit Representations and NeRF papers relating to Robotics/RL domain.
Dynamic semantic SLAM with object detection, octomap, and target database for AI-powered development tools.
This is a C++ library for Simultaneous Localization and Mapping (SLAM) using Stereo Visual-Inertial Odometry (SVO).
A fast and tightly-coupled LiDAR-Inertial-Visual Odometry (LIVO) system for 3D reconstruction and sensor fusion.
A Python library for differentiable robotics and pose estimation using deep learning and optimization.
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