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Download Deep Learning For Sensor Fusion by ['Samuele Tesfaye'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Deep Learning For Sensor Fusion
This thesis examines using deep learning techniques for sensor fusion. The author analyzes sensor data from cameras and radar to label tracks as consistent or inconsistent between sensors. A deep neural network is trained on this labeled data to determine sensor consistency. A second neural network is trained for sensor fusion, taking radar and camera tracks as input and outputting fused tracks. The fusion network is evaluated against a state-of-the-art fusion system, achieving good agreement on validating datasets. This demonstrates the potential for end-to-end deep learning approaches to sensor fusion problems.
Detailed Information
| Author: | ['Samuele Tesfaye'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 171 |
| Language: | English |
| Format: | |
| Price: | FREE |
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