Multimodal Vehicle Classification based on Radar and Acoustic Sensors using Hybrid Shallow CNN
This study proposed a multimodal vehicle classification approach using a hybrid shallow CNN architecture that integrates radar and acoustic sensor data to overcome the limitations of single-sensor systems. The shallow CNN includes convolutional layers with max-pooling and fully connected layers, emp...
| Published in: | IEEE Symposium on Wireless Technology and Applications, ISWTA |
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| Main Author: | |
| Format: | Conference paper |
| Language: | English |
| Published: |
IEEE Computer Society
2024
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85203821523&doi=10.1109%2fISWTA62130.2024.10652023&partnerID=40&md5=ee05f2cc9356147085863b5b1b356055 |