Estimation of Drilling Energy from Tunnel Cutting Face Image Based on Online Learning

To realize the effective tunnel construction, it is important to grasp the characteristics of ground conditions. This paper presents an estimation method of drilling energy based on online learning from tunnel cutting face images. The proposed method realizes the estimation from a small amount of data by learning the image taken immediately before the target image using online learning since consecutive tunnel cutting faces are related to each other. The experimental results show the effectiveness of the proposed method.

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