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Large accidents and disasters in crowded regions such as business districts and universities may create a large number of patients, and first responders need to recognize the presence and location of buildings for their efficient rescue operations. In this paper, we propose an algorithm to estimate the two-dimensional (2D) shapes and positions of buildings, simultaneously using GPS logs and wireless...
In this paper, we propose an algorithm to estimate 2D shapes and positions of obstacles such as buildings using GPS and wireless communication history of mobile nodes. Our algorithm enables quick recognition of geography, which is required in broader types of activities such as rescue activities in emergency situations. Nevertheless, detailed building maps might not be immediately available in private...
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