2020 IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR) 2020
DOI: 10.1109/ssrr50563.2020.9292607
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Autonomous Landing of a UAV on a Moving Ground Vehicle in a GPS Denied Environment

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Cited by 15 publications
(5 citation statements)
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“…This involves implementing traffic lights with embedding sensors [203] in roadways and establishing communication infrastructure at landing pads and airports to enable operations within the Internet of Vehicles (IoV) and the Internet of Flying Vehicles (IoFV) [204].…”
Section: Integrationmentioning
confidence: 99%
“…This involves implementing traffic lights with embedding sensors [203] in roadways and establishing communication infrastructure at landing pads and airports to enable operations within the Internet of Vehicles (IoV) and the Internet of Flying Vehicles (IoFV) [204].…”
Section: Integrationmentioning
confidence: 99%
“…The first ones are ground-moving docking stations. Some of them are Unmanned Ground Vehicles which have landing systems mounted on, like in [65][66][67][68][69][70][71]. The UGV can be used to swap the battery of a UAV, like in [72] or to wirelessly charge the battery- [35,73,74].…”
Section: Mobile Docking Stationmentioning
confidence: 99%
“…For more information, see https://creativecommons.org/licenses/by/4.0/ A common approach for relative localization of vehicles is to adopt so-called fiducial markers. This approach involves the use of cameras and vision algorithms to estimate the position with respect to such fiducial markers which are usually binary square tags, such as the ArUco markers, placed on top of the vehicle to be followed [13], [14]. A wide experimental comparison reported in [15] proved that position estimation through fiducial markers has usually a mean error below 10 cm up to 2 m of distance from the marker itself at various angles.…”
Section: Related Workmentioning
confidence: 99%