Design and Implementation of Filtering-Based Automatic Extraction System for Real-Time Monitoring of Vehicle Information 


Vol. 44,  No. 9, pp. 1778-1787, Sep.  2019
10.7840/kics.2019.44.9.1778


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  Abstract

As vehicle technology develops, there is a growing interest in CAN communication used for inter-sensor communication. In this paper, we propose and implement a system that can automatically extract vehicle information. Our system analyzes the CAN data and performs automatic extraction of five kinds of vehicle information. We developed automatic extraction method using CAN data collection device, and verified the performance through vehicle experiment. It is confirmed that the calculated moving distance of the vehicle is 94% similar to the odometer information. And, precision of acceleration/deceleration, backward driving, and rotation was 96.8%, 98.3%, 100%, 100%, respectively. In addition, we have experimented with five kinds of vehicles and confirmed that it is possible to automatically extract more than half of the vehicles.

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  Cite this article

[IEEE Style]

B. Kim, D. Han, Y. Baek, "Design and Implementation of Filtering-Based Automatic Extraction System for Real-Time Monitoring of Vehicle Information," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 9, pp. 1778-1787, 2019. DOI: 10.7840/kics.2019.44.9.1778.

[ACM Style]

Beomjun Kim, Dongheon Han, and Yunju Baek. 2019. Design and Implementation of Filtering-Based Automatic Extraction System for Real-Time Monitoring of Vehicle Information. The Journal of Korean Institute of Communications and Information Sciences, 44, 9, (2019), 1778-1787. DOI: 10.7840/kics.2019.44.9.1778.

[KICS Style]

Beomjun Kim, Dongheon Han, Yunju Baek, "Design and Implementation of Filtering-Based Automatic Extraction System for Real-Time Monitoring of Vehicle Information," The Journal of Korean Institute of Communications and Information Sciences, vol. 44, no. 9, pp. 1778-1787, 9. 2019. (https://doi.org/10.7840/kics.2019.44.9.1778)