CamVox
SLAM system
A low-cost SLAM system utilizing camera and Lidar data fusion for accurate 3D mapping in uncontrolled environments.
[ICRA2021] A low-cost SLAM system based on camera and Livox lidar.
535 stars
18 watching
113 forks
Language: C++
last commit: over 3 years ago
Linked from 2 awesome lists
Related projects:
Repository | Description | Stars |
---|---|---|
| A SLAM system that processes lidar data to create a map of the environment and track the robot's movement | 39 |
| A system that uses visual odometry and graph optimization to determine the state of a ground vehicle's motion in 2D space | 406 |
| A full lidar slam system using LiDAR and GPS, capable of mapping static environments. | 341 |
| A high-performance SLAM package for real-time highway tracking using lidar sensor data | 145 |
| This project provides an implementation of a tightly coupled 3D lidar and inertial odometry and mapping approach for simultaneous localization and mapping in robotics. | 933 |
| A ROS 2 package implementing a SLAM system using lidar and inertial measurements for simultaneous localization and mapping in various environments. | 319 |
| An RGB-D SLAM system for creating 3D point clouds or OctoMaps from camera data. | 951 |
| An implementation of monocular 3D object detection and SLAM using computer vision techniques. | 850 |
| A real-time 3D SLAM package for GPS and LIDAR sensors using a graph-based approach with odometry estimation and loop detection. | 2,029 |
| Real-time dense visual SLAM system for capturing comprehensive maps of room-scale environments using RGB-D cameras | 1,808 |
| Provides real-time simultaneous localization and mapping in 2D and 3D across multiple platforms and sensor configurations. | 83 |
| Implementation of SLAM algorithm using lidar data | 2,156 |
| Automates extrinsic calibration of cameras and 2D lasers in robotics using ROS | 662 |
| A system for real-time 3D reconstruction and semantic mapping using a hand-held RGB-D camera and SLAM technology | 652 |
| An interactive 3D mapping framework that allows users to correct and refine SLAM data with minimal human effort. | 861 |