National Disaster Management Research Institute

Seong Sam Kim

Dong Yoon Shin

Cheol Kyu Lee

Hyun Ju Kim

Hyun Ju Nho

Je Sung Park

According to an embodiment of the present disclosure, there may be provided an operation method of a server for estimating the size of damage in disaster affected areas. In this instance, the operation method of the server may include acquiring at least one first disaster image, deriving an affected area from each of the at least one first disaster image, acquiring affected area related information through labeling based on the derived affected area, and training a first learning model using the at least one first disaster image and the affected area related information.

Method and apparatus for estimating size of damage in the disaster affected areas

An operation method of a server for identifying disaster affected areas. The operation method of the server may include acquiring at least one first disaster image; deriving an affected area from each of the at least one first disaster image and acquiring affected area related information through labeling based on the derived affected area; and training a first learning model using the at least one first disaster image and the affected area related information.

Method and apparatus for identifying disaster affected areas using disaster prone areas features

The present disclosure provides a target for aerial survey transformable to hand-fan shape. In this instance, the target includes a central axis, a first identification marker with one end connected to the central axis and having a first length outwards, and a second identification marker with one end connected to the central axis and having a second length outwards, the second identification marker disposed on the first identification marker, wherein the second length is shorter than the first length, the first identification marker includes a plurality of first unit areas having a predetermined angle therebetween with respect to the central axis, and the plurality of first unit areas has an overlap between adjacent first unit areas.

Ground marking aerial target for aerial survey transformable to hand-fan shape

Provided is a control method for preventing an accident in a tunnel. In this instance, the control method for preventing an accident in a tunnel includes estimating water amount information flowing into the tunnel based on at least one input information, determining whether it is an emergency situation based on the estimated water amount information, and when the emergency situation is determined, transmitting a warning message to an identification device, and controlling a device for opening and closing an entrance/exit of the tunnel. In this instance, the water amount information flowing into the tunnel is estimated through a deep learning based learning model, and the emergency situation is determined by comparing water level information of the tunnel with a threshold value.

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Ulsan, South Korea

Seong Sam Kim