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Neural Computing and Applications

Erschienen in:

27.04.2020 | S. I : Intelligent Computing Methodologies in Machine learning for IoT Applications

Research on vehicle intelligent wireless location algorithm based on convolutional neural network

verfasst von: Yazi Wang, Yuehong Feng, Huaibo Sun

Erschienen in: Neural Computing and Applications | Ausgabe 14/2021

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Abstract

Vehicle positioning and vehicle identification of natural scene images are an important part of intelligent transportation systems and unmanned driving research. In current situation, there are still some problems in vehicle intelligent wireless positioning. In order to improve the intelligent wireless positioning efficiency of vehicles, based on the convolutional neural network, this research combines the concept of deep learning to carry out algorithm innovation in the research. Moreover, this paper combines the actual vehicle positioning problem points to collect data, simulates the vehicle positioning situation in a variety of complex situations, and designs a controlled test to verify. The results show that the algorithm of this study has certain effects, which can provide reference for subsequent related research and has certain practical significance.

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Titel: Research on vehicle intelligent wireless location algorithm based on convolutional neural network
verfasst von: Yazi Wang
Yuehong Feng
Huaibo Sun
Publikationsdatum: 27.04.2020
Verlag: Springer London
Erschienen in: Neural Computing and Applications / Ausgabe 14/2021
Print ISSN: 0941-0643
Elektronische ISSN: 1433-3058
DOI: https://doi.org/10.1007/s00521-020-04911-w

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