RT Journal Article
T1 Error Reduction in Vision-Based Multirotor Landing System
A1 Llerena Caña, Juan Pedro
A1 García Herrero, Jesús
A1 Molina López, José Manuel
AB New applications are continuously appearing with drones as protagonists, but all of them share an essential critical maneuver—landing. New application requirements have led the study of novel landing strategies, in which vision systems have played and continue to play a key role. Generally, the new applications use the control and navigation systems embedded in the aircraft. However, the internal dynamics of these systems, initially focused on other tasks such as the smoothing trajectories between different waypoints, can trigger undesired behaviors. In this paper, we propose a landing system based on monocular vision and navigation information to estimate the helipad global position. In addition, the global estimation system includes a position error correction module by cylinder space transformation and a filtering system with a sliding window. To conclude, the landing system is evaluated with three quality metrics, showing how the proposed correction system together with stationary filtering improves the raw landing system.
PB MDPI
SN 1424-3210
YR 2022
FD 2022-05-10
LK https://hdl.handle.net/10016/37920
UL https://hdl.handle.net/10016/37920
LA eng
NO This research was partially funded by public research projects of Spanish Ministry of Science and Innovation, references PID2020-118249RB-C22 and PDC2021-121567-C22—AEI/10.13039/501100011033, and by the Madrid Government (Comunidad de Madrid, Spain) under the Multiannual Agreement with UC3M in the line of Excellence of University Professors, reference EPUC3M17.
DS e-Archivo
RD 17 jul. 2024