Multi-Sensor Data Fusion Method Based on Self-Attention Mechanism
Xuezhu Lin,
Shihan Chao,
Dongming Yan
et al.
Abstract:In 3D reconstruction tasks, single-sensor data fusion based on deep learning is limited by the integrity and accuracy of the data, which reduces the accuracy and reliability of the fusion results. To address this issue, this study proposes a multi-sensor data fusion method based on a self-attention mechanism. A multi-sensor data fusion model for acquiring multi-source and multi-modal data is constructed, with the core component being a convolutional neural network with self-attention (CNN-SA), which employs CN… Show more
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