Abstract
With the developments of ITS technologies such as V2V networks, it is expected to realize the new kinds of applications such as the road surveillance system during the winter. However, there are some limitations such as the transmission ranges or the radio noises in the use of the higher frequency. Therefore, this paper proposes the optimal AAA control methods with the camera image recognition for the DTN method in the road surveillance system, and it is especially discussed about the performance improvements of the remote voltage controls by the asynchronous VISA commands in order to realize the quick adjustments of the beam-forming for the target vehicles. Then, the experiments by the prototype systems are presented in this paper, and the results show the effectiveness of the proposed AAA controls.
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Acknowledgement
This paper is the extend version of “Remote Voltage Controls by Image Recognitions for Adaptive Array Antenna of Vehicular Delay Tolerant Networks” in the 13th International Conference on Advances on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC2018), Oct. 2018. Also, this work was supported by SCOPE (Strategic Information and Communications R&D Promotion Programme) Grant Number 181502003 by Ministry of Internal Affairs and Communications in Japan.
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Uchida, N., Sato, G., Shibata, Y. (2019). Performance Evaluations on Adaptive Array Antenna of Vehicular Delay Tolerant Networking for Winter Road Surveillance Systems. In: Barolli, L., Takizawa, M., Xhafa, F., Enokido, T. (eds) Web, Artificial Intelligence and Network Applications. WAINA 2019. Advances in Intelligent Systems and Computing, vol 927. Springer, Cham. https://doi.org/10.1007/978-3-030-15035-8_53
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DOI: https://doi.org/10.1007/978-3-030-15035-8_53
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