Special Issue "Unmanned Aerial Systems and Geoinformatics"

Special Issue Editors

Assoc. Prof. Panagiotis Partsinevelos
Website
Guest Editor
Technical University of Crete, Chania 73100, Greece
Interests: unmanned aerial systems; tangible GIS; GNSS-denied environments; remote sensing
Assoc. Prof. Filiberto Chiabrando
Website1 Website2
Guest Editor
Polytechnic University of Turin, Department of Architecture and Design, 10125 Torino, Italy
Interests: unmanned aerial systems (UAV); photogrammetry; laser scanning; 3D reconstruction; rapid mapping; 3D modeling; 360° cameras; GIS and remote sensing; sensor integration
Special Issues and Collections in MDPI journals
Assoc. Prof. Fabio Giulio Tonolo
Website1 Website2
Guest Editor
Polytechnic University of Turin, Dept. of Architecture and Design, 10125 Torino, Italy
Interests: geomatics; satellite remote sensing; unmanned aerial systems; GIS
Assoc. Prof. Kevin W. Franke
Website
Guest Editor
Brigham Young University, Dept. of Civil and Environmental Engineering, Provo, UT 84602, USA.
Interests: unmanned aerial vehicles; 3D reconstruction and analysis; geotechnical earthquake engineering; performance-based liquefaction hazard assessment

Special Issue Information

Dear Colleagues,

Unmanned aerial systems (UAS) have become increasingly popular in a variety of geospatial applications. Academia and the global market are overwhelmed with often repetitive and simplistic UAS solutions, even though there are many unresolved research issues that need to be dealt with before we can fully unleash their potential. The research community should take action in establishing “smart”, autonomous, and disruptive implementations. UAS and Geoinformatics can benefit mutually from their integration. Towards this end, this Special Issue is devoted to UAS research in terms of novel platforms, embedded systems, new sensors (such as novel LiDAR and hyperspectral scanners), algorithms, real-time and on-board processing, decision making through AI and deep learning, real-time image processing, pattern recognition, fleet management, collaborative robotic systems, internet of drones, 3D reconstruction optimization, oblique photogrammetry, added value in GIS applications, navigation in GPS-denied environments, autonomous navigation, and horizontal and domain specific custom-made systems. Applications span a wide spectrum, including the environment, mapping, the Earth system, disaster management, satellite remote sensing integration, large scale thematic remote sensing, transportation, agriculture, inspection, dynamic environments, search and rescue, cultural heritage, human migration, geotechnical applications, geology, infrastructure, security, business, etc. Disruptive methodologies, review papers, best practice studies, and novel applications will be appreciated.

Assoc. Prof. Panagiotis Partsinevelos
Assoc. Prof. Filiberto Chiabrando
Assoc. Prof. Fabio Giulio Tonolo
Assoc. Prof. Kevin W. Franke
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All papers will be peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. ISPRS International Journal of Geo-Information is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 1000 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • autonomous systems
  • mapping and visualization
  • decision making systems
  • on-board, real time processing
  • GPS-denied environments
  • navigation optimization
  • 3D modeling
  • AI
  • collaborative and fleet systems

Published Papers (1 paper)

Order results
Result details
Select all
Export citation of selected articles as:

Research

Open AccessArticle
Spoofing Detection of Civilian UAVs Using Visual Odometry
ISPRS Int. J. Geo-Inf. 2020, 9(1), 6; https://doi.org/10.3390/ijgi9010006 - 19 Dec 2019
Abstract
Spoofing of Unmanned Aerial Vehicles (UAV) is generally carried out through spoofing of the UAV’s Global Positioning System (GPS) receiver. This paper presents a vision-based UAV spoofing detection method that utilizes Visual Odometry (VO). This method is independent of the other complementary sensors [...] Read more.
Spoofing of Unmanned Aerial Vehicles (UAV) is generally carried out through spoofing of the UAV’s Global Positioning System (GPS) receiver. This paper presents a vision-based UAV spoofing detection method that utilizes Visual Odometry (VO). This method is independent of the other complementary sensors and any knowledge or archived map and datasets. The proposed method is based on the comparison of relative sub-trajectory of the UAV from VO, with its absolute replica from GPS within a moving window along the flight path. The comparison is done using three dissimilarity measures including (1) Sum of Euclidian Distances between Corresponding Points (SEDCP), (2) angle distance and (3) taxicab distance between the Histogram of Oriented Displacements (HOD) of these sub-trajectories. This method can determine the time and location of UAV spoofing and bounds the drift error of VO. It can be used without any restriction in the usage environment and can be implemented in real-time applications. This method is evaluated on four UAV spoofing scenarios. The results indicate that this method is effective in the detection of UAV spoofing due to the Sophisticated Receiver-Based (SRB) GPS spoofing. This method can detect UAV spoofing in the long-range UAV flights when the changes in UAV flight direction is larger than 3° and in the incremental UAV spoofing with the redirection rate of 1°. Additionally, using SEDCP, the spoofing of the UAV, when there is no redirection and only the velocity of the UAV is changed, can be detected. The results show that SEDCP is more effective in the detection of UAV spoofing and fake GPS positions. Full article
(This article belongs to the Special Issue Unmanned Aerial Systems and Geoinformatics)
Show Figures

Figure 1

Back to TopTop