Abstract
The principles of developing the intelligent transport systems based on neuroprocessors are exposed in the paper. Neuroprocessor devices are characterized by high processing speed, low price and low power consumption. They can be used for image processing and real-time car recognition. The efficient parallelization algorithms have been developed in order to ensure high processing speed. The algorithms are based on the rational separation of many homogeneous neural network operations.
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Acknowledgments
The research was carried out within the frame-work of the assignment for the performance of public works in the sphere of scientific activity within the framework of the initiative scientific project of the state task of the Ministry of Education and Science of the Russian Federation No. 2.9519.2017/BC on the topic “Technologies for parallel processing of data in neurocomputer devices and systems”.
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Romanchuk, V. (2020). Concurrent Intelligent Transport Systems Based on Neuroprocessor Devices. In: Murgul, V., Pasetti, M. (eds) International Scientific Conference Energy Management of Municipal Facilities and Sustainable Energy Technologies EMMFT 2018. EMMFT-2018 2018. Advances in Intelligent Systems and Computing, vol 982. Springer, Cham. https://doi.org/10.1007/978-3-030-19756-8_35
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DOI: https://doi.org/10.1007/978-3-030-19756-8_35
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