Comparative Study of Different CNNs for Vehicle Classification
Anju Murali, Bhavana B. Nair, Sethuraman N Rao · 2018
Due to its significance in areas such as traffic surveillance, autonomous navigation, transportation management and law enforcement, vehicle classification has become a popular field of study. We plan to use vehicle classification for estimation of flood depth using images with partially submerged vehicles. The aim of this paper is to provide researchers with an overview of different machine learning algorithms used for vehicle classification using Convolutional Neural Networks (CNN) architecture. Different CNN algorithms have been used for classification of vehicles efficiently. This work reviews and compares the various classification algorithms for detecting the type as well as the model of a vehicle.