UAV-UGV imagery for disaster scenario mapping: aerial-terrestrial data fusion and comparison

被引:2
作者
Potente, Ettore [1 ]
Cagnazzo, Cosimo [1 ]
Voett, Andreas [2 ]
Deodat, Alessandro [3 ]
Mastronuzzi, Giuseppe [1 ]
机构
[1] Univ Bari, Dept Earth & Geoenvironm Sci, I-70126 Bari, Italy
[2] Johannes Gutenberg Univ Mainz, Inst Geog, D-55128 Mainz, Germany
[3] Niteko Srl, I-74020 Montemesola, TA, Italy
来源
RENDICONTI ONLINE SOCIETA GEOLOGICA ITALIANA | 2021年 / 55卷
关键词
UAV; UGV; photogrammetry; disaster response; emergency mapping; EMERGENCY RESPONSE; LOW-COST;
D O I
10.3301/ROL.2021.10
中图分类号
P [天文学、地球科学];
学科分类号
07 ;
摘要
This paper introduces a mobile robotic system equipped with RBG (Red, Green, Blue) and IRT (InfraRed Thermography) sensors, designed in a joint industrial research project, which aims to develop low-cost technologies for the survey of dangerous scenarios in remote mode. The methodology adopted for mapping a landslide scenario, based on aerial and terrestrial unmanned systems, is presented. The UAV (Unmanned Aerial Vehicle) has been employed to map the damaged buildings and the landslide slope, by planning ten survey missions; the UGV (Unmanned Ground Vehicle) has been employed as a complementary mobile photogrammetry technique to obtain high-resolution ground data, by planning three missions, each consisting of two passes along the same paths simulating a two-camera setting. UAV and UGV-derived datasets have been processed using the Structure-from-Motion technique in order to obtain photogrammetry products such as ortho-photomosaics, digital terrain models, point clouds and 3D models of the building. Aerial and terrestrial models have been integrated, using GCPs (ground control points) coordinates and natural/artificial control points, and have been exploited for the spatial analysis. An accuracy assessment has been carried out in CloudCompare using the Cloud-to-Cloud function and local modelling: the aerial and terrestrial models of buildings facades have been independently compared with a reference model, obtained from a stationary photogrammetry survey. The results highlight the higher reliability of the terrestrial model for accurate surfaces reconstruction, proving the potential of terrestrial mobile photogrammetry as an effective lowcost mapping solution for hazardous environments. Moreover, UGV mission settings, datasets characteristics and potential improvements are discussed in order to portray the benefits and limitations of this approach.
引用
收藏
页码:10 / 19
页数:10
相关论文
共 30 条
[1]  
[Anonymous], 2020, TRANSPORT SCI, DOI DOI 10.1287/trsc.2019.0963
[2]   3D Registration and Integrated Segmentation Framework for Heterogeneous Unmanned Robotic Systems [J].
Balta, Harts ;
Velagic, Jasmin ;
Beglerovic, Halil ;
De Cubber, Geert ;
Siciliano, Bruno .
REMOTE SENSING, 2020, 12 (10)
[3]  
Bechtsis D, 2017, CEUR WORKSH P, V2030, P180
[4]   UAV Deployment Exercise for Mapping Purposes: Evaluation of Emergency Response Applications [J].
Boccardo, Piero ;
Chiabrando, Filiberto ;
Dutto, Furio ;
Tonolo, Fabio Giulio ;
Lingua, Andrea .
SENSORS, 2015, 15 (07) :15717-15737
[5]   Landslide phenomena in the area of Pomarico (Basilicata-Italy): methods for modelling and monitoring [J].
Bozzano, F ;
Cherubini, C ;
Floris, M ;
Lupo, M ;
Paccapelo, F .
PHYSICS AND CHEMISTRY OF THE EARTH, 2002, 27 (36) :1601-1607
[6]   A Backpack-Mounted Omnidirectional Camera with Off-the-Shelf Navigation Sensors for Mobile Terrestrial Mapping: Development and Forest Application [J].
Campos, Mariana Batista ;
Garcia Tommaselli, Antonio Maria ;
Honkavaara, Eija ;
Prol, Fabricio dos Santos ;
Kaartinen, Harri ;
El Issaoui, Aimad ;
Hakala, Teemu .
SENSORS, 2018, 18 (03)
[7]   Cooperative UAV-UGV Autonomous Power Pylon Inspection: An Investigation of Cooperative Outdoor Vehicle Positioning Architecture [J].
Cantieri, Alvaro ;
Ferraz, Matheus ;
Szekir, Guido ;
Teixeira, Marco Antonio ;
Lima, Jose ;
Oliveira, Andre Schneider ;
Wehrmeister, Marco Aurelio .
SENSORS, 2020, 20 (21) :1-22
[8]  
Cherubini C, 1985, GEOL APPL IDROGEOL, V20, P671
[9]  
Erdelj M, 2016, 2016 INTERNATIONAL CONFERENCE ON COMPUTING, NETWORKING AND COMMUNICATIONS (ICNC)
[10]   An Aerial-Ground Robotic System for Navigation and Obstacle Mapping in Large Outdoor Areas [J].
Garzon, Mario ;
Valente, Joao ;
Zapata, David ;
Barrientos, Antonio .
SENSORS, 2013, 13 (01) :1247-1267