Comparison of Neural Network Architectures for the Detection of Clutter in Automotive Radar Data
Author:
Affiliation:
1. Institute of Measurement, Control Microtechnology, Ulm University,Ulm,Germany,89081
2. BMW AG,Munich,Germany,80809
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10316683/10316739/10316746.pdf?arnumber=10316746
Reference15 articles.
1. Radar Ghost Target Detection via Multimodal Transformers
2. Point Transformer
3. U-Net: Convolutional Networks for Biomedical Image Segmentation;ronneberger;2015 International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI),2015
4. Identification of Ghost Moving Detections in Automotive Scenarios with Deep Learning
5. Attention Is All You Need;vaswani;Advances in neural information processing systems,2017
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