visual-odometry
CommunityIntegrate robust Visual Odometry for ROS 2.
Authorwimblerobotics
Version1.0.0
Installs0
System Documentation
What problem does it solve?
Visual odometry estimates robot motion from camera frames in ROS 2, providing odometry data to feed localization and sensor fusion; it enables ego-motion estimation when wheel odometry is unavailable or unreliable.
Core Features & Use Cases
- Supports multiple backends: RTAB-Map VO, OAK-D VIO, ORB-SLAM3, and libviso2-based pipelines.
- Provides odometry output for EKF fusion with wheel odometry and IMU.
- Use case: fused localization on robots with monocular or stereo cameras; VO data supplements wheel odometry in low-slip conditions, or for scale-aware navigation.
Quick Start
Configure your ROS 2 workspace to run a VO backend (rtabmap_odom, viso2_ros, or ORB-SLAM3) and publish /vo/odometry for EKF fusion.
Dependency Matrix
Required Modules
None requiredComponents
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: visual-odometry Download link: https://github.com/wimblerobotics/ros2-copilot-skills/archive/main.zip#visual-odometry Please download this .zip file, extract it, and install it in the .claude/skills/ directory.
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