Method of Construction of Routes of the Unmanned Aerial Vehicle on the Interactive Electronic Map
- DOI
- 10.2991/csit-19.2019.9How to use a DOI?
- Keywords
- unnamed aerial vehicle, route, intelligent transport geoinformation system, route, UAV
- Abstract
Unmanned aerial vehicles are increasingly used to perform complex transport processes and operations, such as monitoring transport processes, photogrammetry of transport infrastructure, inspection of geoobjects and tracking of mobile agents. The construction of rational routes in solving the problems of management of the functioning of the transport infrastructure, taking into account various criteria, is a complex procedure that requires reducing the time, improving the trajectory. The use of heuristic algorithms, for example, the ant colony algorithm, which has high accuracy and speed of solving problems, is relevant. To perform complex technological processes and operations, unmanned aerial vehicles (UAVs) are increasingly used that can replace a human operator in dangerous living conditions. To implement these processes, it is necessary to control the flight. As a result, it is revealed that the advantage of the ant algorithm method is the possibility of finding a rational route, which is achieved by repeated repetition of the procedure of passing agents along the route.
- Copyright
- © 2019, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Tatiana Mikheeva AU - Aleksey Tikhonov AU - Elena Chekina AU - Nikita Ostroglazov AU - Sergey Mikheev PY - 2019/12 DA - 2019/12 TI - Method of Construction of Routes of the Unmanned Aerial Vehicle on the Interactive Electronic Map BT - Proceedings of the 21st International Workshop on Computer Science and Information Technologies (CSIT 2019) PB - Atlantis Press SP - 55 EP - 59 SN - 2589-4900 UR - https://doi.org/10.2991/csit-19.2019.9 DO - 10.2991/csit-19.2019.9 ID - Mikheeva2019/12 ER -