Apr 1, 2020 · In this paper, we employ the convolution neural network (CNN) to perform the end-to-end vehicle detection and recognition. Two vehicle classification CNNs are ...
Jun 5, 2020 · In this paper, we employ the convolution neural network (CNN) to perform the end-to-end vehicle detection and recognition.
In this paper, we proposed a deep convolution neural network which is no less than nine layers. A vehicle data set is employed which is collected from multiple ...
The deep learning framework Region based Convolutional Neural Network(RCNN) is implemented for the recognition of vehicles with region proposals.
May 2, 2023 · The CNN-based vehicle detection developed for intelligent car driving allows to avoid crashes, prevent accidents, save people's lives and reduce ...
We propose an algorithm based on Convolutional Neural Network (CNN) to detect the vehicle and classify it into light and heavy vehicles.
This study aims to propose a simple CNN-based model for vehicle classification in low-quality images collected by a standard security camera positioned far ...
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Apr 30, 2024 · This article discusses the application of deep learning in vehicle detection and tracking technology, elaborating on the basic concepts of deep learning and ...
Oct 24, 2018 · In this paper, we present an efficient and effective framework for vehicle detection and classification from traffic surveillance cameras.
Feb 13, 2021 · We propose a convolutional neural network-based vehicle classification system to improve robustness of vehicle classification in real-time applications.