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Introduction
As part of my internship at ZeroshotData, I developed a custom implementation of ORB SLAM3 specifically optimized for our stereo camera setup. This project involved adapting the open-source ORB SLAM3 framework to work seamlessly with our multi-camera robotics system, enabling accurate real-time pose estimation and mapping for autonomous navigation.
Project Overview
This project focused on implementing and optimizing visual-inertial SLAM (Simultaneous Localization and Mapping) for robotics applications. The system processes stereo camera feeds and IMU data to provide real-time 6-DOF pose estimation, enabling robots to understand their position and orientation in 3D space while mapping their environment.
Demo Video
Key Contributions
- ▶Stereo Camera Integration: Adapted ORB SLAM3 to work with our specific stereo camera configuration, handling calibration and synchronization between multiple camera feeds
- ▶Sensor Fusion: Integrated visual data from stereo cameras with inertial measurement unit (IMU) data for improved accuracy and robustness
- ▶Real-time Performance: Optimized the implementation to achieve real-time pose estimation suitable for robotics applications
- ▶Trajectory Visualization: Created visualization tools to display robot trajectories and sensor data in 3D space
Technical Approach
The implementation leveraged ORB SLAM3's robust feature detection and tracking capabilities while customizing the system for our stereo camera setup. Key adaptations included:
- ▶Custom camera calibration and rectification for stereo vision
- ▶Integration of IMU data for visual-inertial odometry
- ▶Optimization for real-time performance on embedded systems
- ▶Development of visualization tools for trajectory analysis
Impact
This work contributed to the robotics navigation capabilities of our system, enabling accurate localization and mapping for autonomous robotics applications. The implementation supported our broader efforts in robotics data collection and processing.
Note
This project was completed as part of my internship, so I'm unable to share detailed technical implementation details or source code. However, I'm happy to discuss the high-level approach and challenges encountered during development.