Autonomous Robots · 2019 · 57 citations · 45 references
EngineeringAutonomous SystemsRobotics EngineeringAutonomous VehiclesRoboticsSensor FusionIndoor LocalizationLocalization UncertaintyRobot LocalizationSensor Fusion For LocalizationClose-proximity ManeuveringIndoor NavigationOn-board SensingRange-based LocalizationRangingRelative NavigationRelative Positioning AccuracyYaw Rate
We present a range-based solution for indoor relative localization by micro air vehicles (MAVs), achieving sufficient accuracy for leader–follower flight. Moving forward from previous work, we removed the dependency on a common heading measurement by the MAVs, making the relative localization accuracy independent of magnetometer readings. We found that this restricts the relative maneuvers that guarantee observability, and also that higher accuracy range measurements are required to rectify the missing heading information, yet both disadvantages can be tackled. Our implementation uses ultra wideband, for both range measurements between MAVs and sharing their velocities, accelerations, yaw rates, and height with each other. We showcased our implementation on a total of three Parrot Bebop 2.0 MAVs and performed leader–follower flight in a real-world indoor environment. The follower MAVs were autonomous and used only on-board sensors to track the same trajectory as the leader. They could follow the leader MAV in close proximity for the entire durations of the flights.
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Moe Z. Win, R.A. Scholtz · IEEE Communications Letters · 1998 · 2.2K citations
The GRASP Multiple Micro-UAV Testbed
Nathan Michael, Daniel Mellinger, Quentin Lindsey et al. · IEEE Robotics & Automation Magazine · 2010 · 771 citations
Engineering, Aerospace Engineering, Mechanical Engineering +5