Dahyeon Kim1, Chulsu Kim2, Junho Ahn1,*
CMC-Computers, Materials & Continua, Vol.72, No.2, pp. 2765-2781, 2022, DOI:10.32604/cmc.2022.025116
- 29 March 2022
Abstract When firefighters are engaged in search and rescue missions inside a building at a risk of collapse, they have difficulty in field command and rescue because they can only simply monitor the situation inside the building utilizing old building drawings or robots. To propose an efficient solution for fast search and rescue work of firefighters, this study investigates the generation of up-to-date digital maps for disaster sites by tracking the collapse situation, and identifying the information of obstacles which are risk factors, using an artificial intelligence algorithm based on low-cost robots. Our research separates the… More >
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