Abstract
Outdoor operations of autonomous UAVs (Un- manned Aerial Vehicle)highly rely on GPS sensors. Whereat localization is essential for UAVs (Unmanned Aerial Vehicle) to operate properly. Positioning by GPS isn't feasible in indoor environments due to signal attenuation. In this study a flight controller which uses GPS for localization has been made operational in indoor environments by using reverse engineering approach and visual odometry data. Visual odometry was produced by Intel® RealSense TM T265 and RTAB-Map were run via depth image which was acquired from Intel® RealSense TM D435i on UAV.
Keywords
Visual odometry
Odometry
Global Positioning System
Computer science
Artificial intelligence
Computer vision
Simultaneous localization and mapping
GPS signals
Assisted GPS
Mobile robot
Robot
Telecommunications
Subject Areas
Robotics and Sensor-Based Localization
·Aerospace Engineering ·Physical Sciences
Robotic Path Planning Algorithms
·Computer Vision and Pattern Recognition ·Physical Sciences
Advanced Image and Video Retrieval Techniques
·Computer Vision and Pattern Recognition ·Physical Sciences
Citations by Year
2022: 1
2023: 3
2024: 1
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