A Survey on Unmanned Surface Vehicles for Disaster Robotics: Main Challenges and Directions

被引:121
作者
Jorge, Vitor A. M. [1 ,3 ]
Granada, Roger [1 ]
Maidana, Renan G. [1 ]
Jurak, Darlan A. [1 ]
Heck, Guilherme [1 ]
Negreiros, Alvaro P. F. [2 ]
dos Santos, Davi H. [2 ]
Goncalves, Luiz M. G. [2 ]
Amory, Alexandre M. [1 ]
机构
[1] Pontificia Univ Catolica Rio Grande do Sul, Sch Technol, BR-90619900 Porto Alegre, RS, Brazil
[2] Univ Fed Rio Grande do Norte, Dept Comp Engn & Automat, BR-59078970 Natal, RN, Brazil
[3] Inst Tecnol Aeronaut, Elect Engn Div IEE, BR-12228900 Sao Jose Dos Campos, SP, Brazil
关键词
survey; disaster management; unmanned surface vehicle; USV; unmanned surface craft; USC; autonomous surface craft; ASC; autonomous boat; disaster robotics; floods; landslides; hurricanes; tsunamis; hazard; search and rescue; OIL-SPILL; AUTONOMOUS SURFACE; COOPERATIVE CONTROL; SEA-SURFACE; MARINE; REMOTE; RESCUE; TRACKING; DESIGN; SYSTEM;
D O I
10.3390/s19030702
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Disaster robotics has become a research area in its own right, with several reported cases of successful robot deployment in actual disaster scenarios. Most of these disaster deployments use aerial, ground, or underwater robotic platforms. However, the research involving autonomous boats or Unmanned Surface Vehicles (USVs) for Disaster Management (DM) is currently spread across several publications, with varying degrees of depth, and focusing on more than one unmanned vehicle-usually under the umbrella of Unmanned Marine Vessels (UMV). Therefore, the current importance of USVs for the DM process in its different phases is not clear. This paper presents the first comprehensive survey about the applications and roles of USVs for DM, as far as we know. This work demonstrates that there are few current deployments in disaster scenarios, with most of the research in the area focusing on the technological aspects of USV hardware and software, such as Guidance Navigation and Control, and not focusing on their actual importance for DM. Finally, to guide future research, this paper also summarizes our own contributions, the lessons learned, guidelines, and research gaps.
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页数:44
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