Advances of UAVs Assisted Mobile Robot Navigation System

A special issue of Drones (ISSN 2504-446X). This special issue belongs to the section "Drone Communications".

Deadline for manuscript submissions: closed (31 March 2023) | Viewed by 4432

Special Issue Editors


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Guest Editor
Autonomous IoT Research Center, Korea Electronics Technology Institute, Gyeonggi 13509, Seongnam, Korea
Interests: multi-sensor SLAM; autonomous navigation; visual-inertial odometry
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Guest Editor
Department of Electrical Engineering, Inha University, Inharo 100, Korea
Interests: long-term autonomy; robust sensing; spatial AI

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Guest Editor
AI Machinery Lab, Korea Institute of Machinery and Materials, Daejeon, Korea
Interests: SLAM; autonomous navigation; multi-modal sensing

Special Issue Information

Dear Colleagues, 

Research on collaboration efforts between unmanned aerial vehicles (UAVs) and various robots, especially mobile robots, is being actively conducted. System convergence can be maximized while compensating for the shortcomings of different systems. In many scenarios, UAVs may viably collaborate with traditional mobile robot navigation, and together, they have expanded the applications of aerial data.

This Special Issue aims to contribute to enhancing the knowledge of UAV-assisted mobile robot navigation systems. Original research articles and reviews are welcome. Research areas may include (but are not limited to) the following:

  • Autonomous collaborative navigation;
  • Data fusion (integration of UAV data with other sources, e.g., UGV and USV);
  • Cloud-based multiple/heterogeneous robot system;
  • Digital-twin-based multirobot system;
  • Applications in real fields (agriculture, forestry, subterranean, etc.).

Dr. Sungwook Jung
Dr. Younggun Cho
Dr. Young-sik Shin
Guest Editors

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Keywords

  • multirobot system
  • drone
  • mobile robot
  • navigation
  • collaborative robots

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Published Papers (1 paper)

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Research

18 pages, 2803 KiB  
Article
A Comparative Study of Bridge Inspection and Condition Assessment between Manpower and a UAS
by In-Ho Kim, Sungsik Yoon, Jin Hwan Lee, Sungwook Jung, Soojin Cho and Hyung-Jo Jung
Drones 2022, 6(11), 355; https://doi.org/10.3390/drones6110355 - 15 Nov 2022
Cited by 12 | Viewed by 3835
Abstract
As the number of old bridges increases, the number of bridges with structural defects is also increasing. Timely inspection and maintenance of bridges are required because structural degradation is accelerated after bridge damage. Recently, in the field of structural health monitoring, a bridge [...] Read more.
As the number of old bridges increases, the number of bridges with structural defects is also increasing. Timely inspection and maintenance of bridges are required because structural degradation is accelerated after bridge damage. Recently, in the field of structural health monitoring, a bridge inspection using an unmanned aerial vehicle system (UAS) is receiving a lot of attention. In this paper, UAS-based automatic damage detection and bridge condition evaluation were performed on existing bridges. From the process of preparing for inspection to the management of inspection data, the entire bridge inspection process was performed through field tests. The necessary element techniques for each stage were explained and the results were confirmed. Finally, UAS-based results were compared with conventional human-based visual inspection results. As a result, it was confirmed that the UAS-based bridge inspection is faster and more objective than the existing technology. Therefore, it was confirmed that the automatic bridge inspection method based on unmanned aerial vehicles can be applied to the field as a promising technology. Full article
(This article belongs to the Special Issue Advances of UAVs Assisted Mobile Robot Navigation System)
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