A Vision-Based Control Method for Autonomous Landing of Vertical Flight Aircraft On a Moving Platform Without Using GPS
Bochan Lee, Vishnu Saj, Moble Benedict, Dileep Kalathil

TL;DR
This paper presents a vision-based control system enabling autonomous UAV landing on moving platforms without GPS, using a monocular camera and visual cues for precise navigation and landing.
Contribution
It introduces a novel vision-based estimation and control method that does not require tracking the landing pad directly or using GPS, enhancing autonomous landing capabilities.
Findings
Real-time distance measurement accuracy within 1 cm
Heading estimation within 1 degree
Successful landing with less than 5 cm error
Abstract
The paper discusses a novel vision-based estimation and control approach to enable fully autonomous tracking and landing of vertical take-off and landing (VTOL) capable unmanned aerial vehicles (UAVs) on moving platforms without relying on a GPS signal. A unique feature of the present method is that it accomplishes this task without tracking the landing pad itself; however, by utilizing a standardized visual cue installed normal to the landing pad and parallel to the pilot's/vehicle's line of sight. A computer vision system using a single monocular camera is developed to detect the visual cue and then accurately estimate the heading of the UAV and its relative distances in all three directions to the landing pad. Through comparison with a Vicon-based motion capture system, the capability of the present vision system to measure distances in real-time within an accuracy of less than a…
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Taxonomy
TopicsAerospace Engineering and Control Systems · Robotic Path Planning Algorithms · Robotics and Sensor-Based Localization
