TY - GEN
T1 - A Speed up Approach for Search and Rescue
AU - Shih, Guan Rong
AU - Tsai, Pei Hsuan
AU - Lin, Chun Lung
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/7/2
Y1 - 2018/7/2
N2 - Search and rescue (SAR) is to find and help people who are injured or in danger in difficult environments, e.g., mountain, marine or rainforest. The time of SAR should be short to minimize the damage and increase the survival rate of the person. However, SAR is time-consuming, especially for searching missing people in large scale area. Many techniques including unmanned aerial vehicle, robot, and auto-car, are applied to assist SAR nowadays. This paper proposes a map model with a greedy path planning algorithm to guide searchers efficiently find missing people faster and take UAV searching as a scenario.
AB - Search and rescue (SAR) is to find and help people who are injured or in danger in difficult environments, e.g., mountain, marine or rainforest. The time of SAR should be short to minimize the damage and increase the survival rate of the person. However, SAR is time-consuming, especially for searching missing people in large scale area. Many techniques including unmanned aerial vehicle, robot, and auto-car, are applied to assist SAR nowadays. This paper proposes a map model with a greedy path planning algorithm to guide searchers efficiently find missing people faster and take UAV searching as a scenario.
UR - http://www.scopus.com/inward/record.url?scp=85062220970&partnerID=8YFLogxK
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U2 - 10.1109/SMC.2018.00708
DO - 10.1109/SMC.2018.00708
M3 - Conference contribution
AN - SCOPUS:85062220970
T3 - Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
SP - 4178
EP - 4183
BT - Proceedings - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2018 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2018
Y2 - 7 October 2018 through 10 October 2018
ER -