基于神经网络的车载系统 LED 检测,实现 OCC 中的高数据速率

Md. Faisal Ahmed, M. Shahjalal, Md. Osman Ali, Y. Jang
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引用次数: 1

摘要

如今,人们对车辆的增加及其先进技术越来越感兴趣。在本文中,我们设计了一个神经网络系统,可以支持高移动性。神经网络技术用于在任何情况下准确检测 LED。此外,在恶劣天气条件下,系统性能也不会因为神经网络而降低。因此,从多个 LED 光源中提取的数据率得到了提高。总之,在光学摄像机通信中使用神经网络可使系统更加稳定可靠。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Neural Network-based LED Detection in Vehicular System for High Data Rate in OCC
The increase of vehicle and its advanced technology is growing interest nowadays. In this paper, we have designed a system that can support high mobility due to the inclusion of a neural network. The neural network technique is used to detect the LED accurately in any situation. Also in bad weather conditions the system performance may not degrade because of the neural network. As a result, the data rate increase and extracted from the multiple LED source. Overall, using a neural network in the optical camera communication makes the system more stable and reliable.
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