Ιδρυματικό Αποθετήριο
Πολυτεχνείο Κρήτης
Πολυτεχνείο Κρήτης
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| URI | http://purl.tuc.gr/dl/dias/60C0D66B-EDFA-4FEB-A865-8FAF9D1662AA | - |
| Αναγνωριστικό | https://doi.org/10.3390/ijgi9070425 | - |
| Αναγνωριστικό | https://www.mdpi.com/2220-9964/9/7/425/htm | - |
| Γλώσσα | en | - |
| Μέγεθος | 17 pages | en |
| Μέγεθος | 3,06 megabytes | en |
| Τίτλος | Automated geolocation in urban environments using a simple camera-equipped Unmanned Aerial Vehicle: a rapid mapping surveying alternative? | en |
| Δημιουργός | Trigakis Dimitrios | en |
| Δημιουργός | Τριγκακης Δημητριος | el |
| Δημιουργός | Petrakis Georgios | en |
| Δημιουργός | Πετρακης Γεωργιος | el |
| Δημιουργός | Tripolitsiotis Achilleas | en |
| Δημιουργός | Τριπολιτσιωτης Αχιλλεας | el |
| Δημιουργός | Partsinevelos Panagiotis | en |
| Δημιουργός | Παρτσινεβελος Παναγιωτης | el |
| Εκδότης | MDPI | en |
| Περίληψη | GNSS positioning accuracy can be degraded in areas where the surrounding object geometry and morphology interacts with the GNSS signals. Specifically, urban environments pose challenges to precise GNSS positioning because of signal interference or interruptions. Also, non-GNSS surveying methods, including total stations and laser scanners, involve time consuming practices in the field and costly equipment. The present study proposes the use of an Unmanned Aerial Vehicle (UAV) for autonomous rapid mapping that resolves the problem of localization for the drone itself by acquiring location information of characteristic points on the ground in a local coordinate system using simultaneous localization and mapping (SLAM) and vision algorithms. A common UAV equipped with a camera and at least a single known point, are enough to produce a local map of the scene and to estimate the relative coordinates of pre-defined ground points along with an additional arbitrary point cloud. The resulting point cloud is readily measurable for extracting and interpreting geometric information from the area of interest. Under two novel optimization procedures performing line and plane alignment of the UAV-camera-measured point geometries, a set of experiments determines that the localization of a visual point in distances reaching 15 m from the origin, delivered a level of accuracy under 50 cm. Thus, a simple UAV with an optical sensor and a visual marker, prove quite promising and cost-effective for rapid mapping and point localization in an unknown environment. | en |
| Τύπος | Peer-Reviewed Journal Publication | en |
| Τύπος | Δημοσίευση σε Περιοδικό με Κριτές | el |
| Άδεια Χρήσης | http://creativecommons.org/licenses/by/4.0/ | en |
| Ημερομηνία | 2021-07-14 | - |
| Ημερομηνία Δημοσίευσης | 2020 | - |
| Θεματική Κατηγορία | Unmanned Aerial Vehicles (UAVs) | en |
| Θεματική Κατηγορία | Rapid surveying | en |
| Θεματική Κατηγορία | Global Navigation Satellite Systems (GNSS)-denied environments | en |
| Θεματική Κατηγορία | Geolocation | en |
| Θεματική Κατηγορία | Urban mapping | en |
| Βιβλιογραφική Αναφορά | D. Trigkakis, G. Petrakis, A. Tripolitsiotis, and P. Partsinevelos, “Automated geolocation in urban environments using a simple camera-equipped Unmanned Aerial Vehicle: a rapid mapping surveying alternative?”, ISPRS Int. J. Geo-Inf., vol. 9, no. 7, Jul. 2020. doi: 10.3390/ijgi9070425 | en |
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