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International Conference on Human Centered Computing

HCC 2019: Human Centered Computing pp 476–482Cite as

An Early Warning System of Tram Safety Protection Based on Multi-information Detection

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Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 11956))

Abstract

Aiming at the existing collision accidents with motor vehicles and pedestrians in the operation of tram, a tram safety protection early warning system is proposed, which can automatically analyze and interpret dangerous objects in the direction of moving forward. The system uses ranging sensor (Ultrasonic, Camera, Ranging radar) and infrared video information to obtain the accurate distance between the obstacle and the locomotive. The obstacle type and potential running speed can be obtained by infrared image recognition and classification. According to the direction of the tram, the distance, type and speed of the obstacles, the safety level of the obstacles can be determined. The above analysis and interpretation results are displayed intuitively on the on-board display and reminder unit. Relevant technologies can effectively improve the ability of the tram driver to obtain information, automatically detect obstacles and judge the degree of danger, and improve the safety of the tram.

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References

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Author information

Authors and Affiliations

  1. Shanghai Second Polytechnic University, Shanghai, China

    Binjie Xiao

Authors
  1. Binjie Xiao
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Correspondence to Binjie Xiao .

Editor information

Editors and Affiliations

  1. University of Kragujevac, Čačak, Serbia

    Danijela Milošević

  2. South China Normal University, Guangzhou, China

    Yong Tang

  3. Wuhan University of Technology, Wuhan, Hubei, China

    Qiaohong Zu

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Cite this paper

Xiao, B. (2019). An Early Warning System of Tram Safety Protection Based on Multi-information Detection. In: Milošević, D., Tang, Y., Zu, Q. (eds) Human Centered Computing. HCC 2019. Lecture Notes in Computer Science(), vol 11956. Springer, Cham. https://doi.org/10.1007/978-3-030-37429-7_47

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  • DOI: https://doi.org/10.1007/978-3-030-37429-7_47

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-37428-0

  • Online ISBN: 978-3-030-37429-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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