Simulating a Hybrid Acquisition System for UAV Platforms

Currently, there is a rapid trend in the production of airborne sensors consisting of multi-view cameras or hybrid sensors, i.e., a LiDAR scanner coupled with one or multiple cameras to enrich the data acquisition in terms of colors, texture, completeness of coverage, accuracy, etc. However, the cur...

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Main Authors: Bashar Alsadik, Fabio Remondino, Francesco Nex
Format: Article
Language:English
Published: MDPI AG 2022-10-01
Series:Drones
Subjects:
Online Access:https://www.mdpi.com/2504-446X/6/11/314
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author Bashar Alsadik
Fabio Remondino
Francesco Nex
author_facet Bashar Alsadik
Fabio Remondino
Francesco Nex
author_sort Bashar Alsadik
collection DOAJ
description Currently, there is a rapid trend in the production of airborne sensors consisting of multi-view cameras or hybrid sensors, i.e., a LiDAR scanner coupled with one or multiple cameras to enrich the data acquisition in terms of colors, texture, completeness of coverage, accuracy, etc. However, the current UAV hybrid systems are mainly equipped with a single camera that will not be sufficient to view the facades of buildings or other complex objects without having double flight paths with a defined oblique angle. This entails extensive flight planning, acquisition duration, extra costs, and data handling. In this paper, a multi-view camera system which is similar to the conventional Maltese cross configurations used in the standard aerial oblique camera systems is simulated. This proposed camera system is integrated with a multi-beam LiDAR to build an efficient UAV hybrid system. To design the low-cost UAV hybrid system, two types of cameras are investigated and proposed, namely the MAPIR Survey and the SenseFly SODA, integrated with a multi-beam digital Ouster OS1-32 LiDAR sensor. Two simulated UAV flight experiments are created with a dedicated methodology and processed with photogrammetric methods. The results show that with a flight speed of 5 m/s and an image overlap of 80/80, an average density of up to 1500 pts/m<sup>2</sup> can be achieved with adequate facade coverage in one-pass flight strips.
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spelling doaj.art-a755843338c04c3f9f4acdbd158f51872023-11-24T04:21:42ZengMDPI AGDrones2504-446X2022-10-0161131410.3390/drones6110314Simulating a Hybrid Acquisition System for UAV PlatformsBashar Alsadik0Fabio Remondino1Francesco Nex2Faculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7514 AE Enschede, The Netherlands3D Optical Metrology Unit, Fondazione Bruno Kessler (FBK), via Sommarive 18, 38123 Trento, ItalyFaculty of Geo-Information Science and Earth Observation (ITC), University of Twente, 7514 AE Enschede, The NetherlandsCurrently, there is a rapid trend in the production of airborne sensors consisting of multi-view cameras or hybrid sensors, i.e., a LiDAR scanner coupled with one or multiple cameras to enrich the data acquisition in terms of colors, texture, completeness of coverage, accuracy, etc. However, the current UAV hybrid systems are mainly equipped with a single camera that will not be sufficient to view the facades of buildings or other complex objects without having double flight paths with a defined oblique angle. This entails extensive flight planning, acquisition duration, extra costs, and data handling. In this paper, a multi-view camera system which is similar to the conventional Maltese cross configurations used in the standard aerial oblique camera systems is simulated. This proposed camera system is integrated with a multi-beam LiDAR to build an efficient UAV hybrid system. To design the low-cost UAV hybrid system, two types of cameras are investigated and proposed, namely the MAPIR Survey and the SenseFly SODA, integrated with a multi-beam digital Ouster OS1-32 LiDAR sensor. Two simulated UAV flight experiments are created with a dedicated methodology and processed with photogrammetric methods. The results show that with a flight speed of 5 m/s and an image overlap of 80/80, an average density of up to 1500 pts/m<sup>2</sup> can be achieved with adequate facade coverage in one-pass flight strips.https://www.mdpi.com/2504-446X/6/11/314UAVhybrid systemmulti-viewoblique camerapoint density
spellingShingle Bashar Alsadik
Fabio Remondino
Francesco Nex
Simulating a Hybrid Acquisition System for UAV Platforms
Drones
UAV
hybrid system
multi-view
oblique camera
point density
title Simulating a Hybrid Acquisition System for UAV Platforms
title_full Simulating a Hybrid Acquisition System for UAV Platforms
title_fullStr Simulating a Hybrid Acquisition System for UAV Platforms
title_full_unstemmed Simulating a Hybrid Acquisition System for UAV Platforms
title_short Simulating a Hybrid Acquisition System for UAV Platforms
title_sort simulating a hybrid acquisition system for uav platforms
topic UAV
hybrid system
multi-view
oblique camera
point density
url https://www.mdpi.com/2504-446X/6/11/314
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