Autonomous Flight Trajectory Control System for Drones in Smart City Traffic Management
With the exponential growth of numerous drone operations ranging from infrastructure monitoring to even package delivery services, the integration of UAS in the smart city transportation systems is an actual task that requires radically new, sustainable (safe, secure, with minimum environmental impa...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2021-05-01
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| Series: | ISPRS International Journal of Geo-Information |
| Subjects: | |
| Online Access: | https://www.mdpi.com/2220-9964/10/5/338 |
| _version_ | 1797533853963780096 |
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| author | Dinh Dung Nguyen Jozsef Rohacs Daniel Rohacs |
| author_facet | Dinh Dung Nguyen Jozsef Rohacs Daniel Rohacs |
| author_sort | Dinh Dung Nguyen |
| collection | DOAJ |
| description | With the exponential growth of numerous drone operations ranging from infrastructure monitoring to even package delivery services, the integration of UAS in the smart city transportation systems is an actual task that requires radically new, sustainable (safe, secure, with minimum environmental impact and life cycle cost) solutions. The primary objective of this proposed option is the definition of routes as desired and commanded trajectories and their autonomous execution. The airspace structure and fixed routes are given in the global GPS reference system with supporting GIS mapping. The concept application requires a series of further studies and solutions as drone trajectory (or corridor) following by an autonomous trajectory tracking control system, coupled with autonomous conflict detection, resolution, safe drone following, and formation flight options. The second part of the paper introduces such possible models and shows some results of their verification tests. Drones will be connected with the agency, designed trajectories to support them with factual information on trajectories and corridors. While the agency will use trajectory elements to design fixed or desired trajectories, drones may use the conventional GPS, infrared, acoustic, and visual sensors for positioning and advanced navigation. The accuracy can be improved by unique markers integrated into the infrastructure. |
| first_indexed | 2024-03-10T11:21:33Z |
| format | Article |
| id | doaj.art-fe8a08f1a7384c068d886a6f6b949066 |
| institution | Directory Open Access Journal |
| issn | 2220-9964 |
| language | English |
| last_indexed | 2024-03-10T11:21:33Z |
| publishDate | 2021-05-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | ISPRS International Journal of Geo-Information |
| spelling | doaj.art-fe8a08f1a7384c068d886a6f6b9490662023-11-21T20:02:17ZengMDPI AGISPRS International Journal of Geo-Information2220-99642021-05-0110533810.3390/ijgi10050338Autonomous Flight Trajectory Control System for Drones in Smart City Traffic ManagementDinh Dung Nguyen0Jozsef Rohacs1Daniel Rohacs2Department of Aeronautics and Naval Architecture, Budapest University of Technology and Economics, 1111 Budapest, HungaryDepartment of Aeronautics and Naval Architecture, Budapest University of Technology and Economics, 1111 Budapest, HungaryDepartment of Aeronautics and Naval Architecture, Budapest University of Technology and Economics, 1111 Budapest, HungaryWith the exponential growth of numerous drone operations ranging from infrastructure monitoring to even package delivery services, the integration of UAS in the smart city transportation systems is an actual task that requires radically new, sustainable (safe, secure, with minimum environmental impact and life cycle cost) solutions. The primary objective of this proposed option is the definition of routes as desired and commanded trajectories and their autonomous execution. The airspace structure and fixed routes are given in the global GPS reference system with supporting GIS mapping. The concept application requires a series of further studies and solutions as drone trajectory (or corridor) following by an autonomous trajectory tracking control system, coupled with autonomous conflict detection, resolution, safe drone following, and formation flight options. The second part of the paper introduces such possible models and shows some results of their verification tests. Drones will be connected with the agency, designed trajectories to support them with factual information on trajectories and corridors. While the agency will use trajectory elements to design fixed or desired trajectories, drones may use the conventional GPS, infrared, acoustic, and visual sensors for positioning and advanced navigation. The accuracy can be improved by unique markers integrated into the infrastructure.https://www.mdpi.com/2220-9964/10/5/338autonomous dronesUAVautonomous flight trajectoryinverse motion simulationsmart city integration |
| spellingShingle | Dinh Dung Nguyen Jozsef Rohacs Daniel Rohacs Autonomous Flight Trajectory Control System for Drones in Smart City Traffic Management ISPRS International Journal of Geo-Information autonomous drones UAV autonomous flight trajectory inverse motion simulation smart city integration |
| title | Autonomous Flight Trajectory Control System for Drones in Smart City Traffic Management |
| title_full | Autonomous Flight Trajectory Control System for Drones in Smart City Traffic Management |
| title_fullStr | Autonomous Flight Trajectory Control System for Drones in Smart City Traffic Management |
| title_full_unstemmed | Autonomous Flight Trajectory Control System for Drones in Smart City Traffic Management |
| title_short | Autonomous Flight Trajectory Control System for Drones in Smart City Traffic Management |
| title_sort | autonomous flight trajectory control system for drones in smart city traffic management |
| topic | autonomous drones UAV autonomous flight trajectory inverse motion simulation smart city integration |
| url | https://www.mdpi.com/2220-9964/10/5/338 |
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