User Interface for Unmanned Surface Vehicles Used to Rescue Drowning Victims

Wilde, Grant A.; Murphy, Robin R.

doi:10.1109/ssrr.2018.8468608

Cited by 15 publications

(6 citation statements)

References 11 publications

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“…ey have also proposed heuristic-based algorithms which use the neural network and hybrid algorithms, while the paper [42] concentrated on presenting a correlation between conventional motion planning approaches such as potential field (PF), Dijkstra's algorithm (DA), metaheuristic-based methods such as genetic algorithm (GA), particle swarm optimization (PSO), differential evolution (DE), and cuckoo search (CSA). e authors of the papers [26,43] have conducted research on the unmanned surface vehicles (USVs) considering both natural or human-made disasters. e work describes the deployments in disaster scenarios by considering the technical aspects of USV hardware and software.…”

Section: Previous Studiesmentioning

confidence: 99%

A Comprehensive Review on Design of Autonomous Robotic Boat for Rescue Applications

Jain

Saini

Gupta

et al. 2021

Mathematical Problems in Engineering

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New technologies are advancing and emerging day by day to improve the safety of humans by making use of various autonomous technologies. The continuous utilization of autonomous vehicles/systems in search and rescue (SAR) operations is a challenging research area particularly for marine-based activities. A comprehensive systematic literature review (SLR) providing an overview of improvisations that have been done in the field of autonomous technologies for search and rescue operation over the last five years has been compiled in this paper. A methodology for using autonomous vehicles in water for SAR operations has been incorporated and demonstrated. The focus of this study is to look at the various techniques and address different challenges faced for human beings’ safety during rescue operation. The comparison of results achieved for various technologies and algorithms is highlighted in this paper. This literature survey proves to be a good source of information for fellow researchers to precisely analyze the study results.

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Section: Previous Studiesmentioning

confidence: 99%

A Comprehensive Review on Design of Autonomous Robotic Boat for Rescue Applications

Jain

Saini

Gupta

et al. 2021

Mathematical Problems in Engineering

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“…The USV was modified to include a Pixhawk controller which implements waypoint navigation, return to launch, as well as an improved user interface design. After feedback from different trials, the SmartEmily autonomous USV [197] was conceived. Its current interface incorporates the input information provided by the Castrium Rescue Brigade and LACoFD Baywatch and was tested at the DHS CAUSE V Exercise in Bellingham, Washington.…”

Section: Usv Applications For Preventive Maintenance and Disaster mentioning

confidence: 99%

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

Jorge

Granada

Maidana

et al. 2019

Sensors

134

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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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“…Time-space fusion of USV target tracking, 20 USV target detection and tracking based on SSD-CF, 21 target path tracking control optimization for USV, 22 Target detection and tracking of USV based on optical vision 23 Maritime search and rescue USV water search and rescue, 24,25 power design for search and rescue USV, 26 the direction and speed control of search and rescue USV 27…”

Section: Target Trackingmentioning

confidence: 99%

A motion planning method for unmanned surface vehicle in restricted waters

Zhou

Wen

et al. 2020

Proceedings of the Institution of Mechanical Engineers, Part M:

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The maneuvering characteristics of the unmanned surface vehicle itself are very important to motion planning due to the limited water scale area. If the size, motion state, and maneuvering characteristics of the unmanned surface vehicle are not considered, the shortest path obtained is actually not feasible in the restricted waters. In this article, the widely used A* algorithm is improved by accounting for the maneuvering characteristics of the unmanned surface vehicle, named as the Label-A* Algorithm, which is further employed to fix the problem related to the motion planning for the unmanned surface vehicle in restricted waters. The solution to the motion planning mainly contains three stages. First, the unmanned surface vehicle trajectory unit library is established based on its maneuvering characteristics; second, an improved label-A* Algorithm is constructed, and the unmanned surface vehicle motion planning method is proposed with the trajectory unit, which is suitable for the restricted waters; Finally, numerical simulations and filed tests are designed to verify the formulated model and proposed algorithm. The motion planning method can simultaneously meet the state constraints, maneuvering characteristics constraints, and water scale constraints of unmanned surface vehicle.

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User Interface for Unmanned Surface Vehicles Used to Rescue Drowning Victims

Cited by 15 publications

References 11 publications

A Comprehensive Review on Design of Autonomous Robotic Boat for Rescue Applications

A Comprehensive Review on Design of Autonomous Robotic Boat for Rescue Applications

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

A motion planning method for unmanned surface vehicle in restricted waters

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