[Title]
CNN-LSTM network for accurate gas source position estimation
[Authors]
장희덕, 박재현, 장동의, 남현우
[Abstract]
The accurate determination of the source of a gas cloud that poses a threat to human health is crucial for an early response. Recently, researchers have been using deep neural networks to identify a cell containing the source in a 2D grid map. This study presents a novel approach using a CNN-LSTM network to pinpoint both the cell containing the gas source and its precise location within the cell. This is achieved by analyzing gas diffusion data generated through virtual simulations.\
