JOURNAL ARTICLE

Adaptive search control applied to Search and Rescue operations using Unmanned Aerial Vehicles (UAVs)

A. N. ChavesPaulo Sérgio CugnascaJoão José Neto

Year: 2014 Journal:   IEEE Latin America Transactions Vol: 12 (7)Pages: 1278-1283   Publisher: Institute of Electrical and Electronics Engineers

Abstract

Despite there being some researches about unmanned aerial vehicle (UAV), operations with this kind of robots are not yet occurring in search and rescue (SAR) operations. Using adaptive concepts, a Cooperative UAV model applied to search and rescue operations applied is proposed. The adaptive concepts are well suited to the dynamism present in search operations in unknown environment. Thus, applying adaptiveness, each UAV takes decision in order to best accomplish the goal. Simulations were carried out and the results observed show that the model reduces until 75% of the search time (comparing with a manned search using the SAR navigation rules). Furthermore, related works, UAV evolution, conclusion and future works suggestions are presented.

Keywords:
Search and rescue Computer science Dynamism Drone Artificial intelligence Robot Adaptive control Control (management) Real-time computing

Metrics

36
Cited By
1.93
FWCI (Field Weighted Citation Impact)
14
Refs
0.90
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Robotic Path Planning Algorithms
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Robotics and Sensor-Based Localization
Physical Sciences →  Engineering →  Aerospace Engineering
Distributed Control Multi-Agent Systems
Physical Sciences →  Computer Science →  Computer Networks and Communications

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