Real-Time Vehicle Make and Model Recognition with the Residual SqueezeNet Architecture

Sensors (Basel, Switzerland), Volume 19, Issue 5, 2019, Pages 982

Cited by: 0|Bibtex|Views26|DOI:https://doi.org/10.3390/s19050982
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Other Links: pubmed.ncbi.nlm.nih.gov|dblp.uni-trier.de|academic.microsoft.com

Abstract:

Make and model recognition (MMR) of vehicles plays an important role in automatic vision-based systems. This paper proposes a novel deep learning approach for MMR using the SqueezeNet architecture. The frontal views of vehicle images are first extracted and fed into a deep network for training and testing. The SqueezeNet architecture with...More

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