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International Conference on Ubiquitous Information Technologies and Applications

International Conference on Computer Science and its Applications

CUTE 2017, CSA 2017: Advances in Computer Science and Ubiquitous Computing pp 1114–1120Cite as

Hybrid Sensing and Behavior-Aware in Pedestrian Hazard Detection

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Part of the Lecture Notes in Electrical Engineering book series (LNEE,volume 474)

Abstract

The advances in multiple types of sensing technology, wireless communication, and context-aware services increase interest in the design and development of pedestrian behavior for hazard detection. This paper focuses on research of the hybrid sensing fusion approach that identifies behavior activities and provides behavior-aware alerts for safety to pedestrians. Hybrid sensing techniques use to integrate data gathered from several sensors and increase the reliability of the algorithm for identifying various activities. The main purpose of this paper is to present the overview of hybrid sensing and behavior-aware to apply for the pedestrian hazard detection.

Keywords

  • Hybrid sensing
  • Sensor data collection
  • Sensor fusion
  • Behavior aware

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Acknowledgments

This work was supported by Institute for Information & communications Technology Promotion (IITP) grant funded by the Korea government (MSIT) (2017-0-00336, Platform Development of Multi-log based Multi-Modal Data Convergence Analysis and Situational Response). This research was supported by the MSIT (Ministry of Science and ICT), Korea, under the ITRC (Information Technology Research Center) support program (IITP-2017-2016-0-00311) supervised by the IITP(Institute for Information & communications Technology Promotion).

Author information

Authors and Affiliations

  1. Department of IT Engineering, Sookmyung Women’s University, Chungpa-Dong 2-Ga, Yongsan-Gu, Seoul, 140-742, Korea

    Svetlana Kim & YongIk Yoon

Authors
  1. Svetlana Kim
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  2. YongIk Yoon
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Corresponding author

Correspondence to YongIk Yoon .

Editor information

Editors and Affiliations

  1. Department of Computer Science and Engineering, Seoul University of Science and Technology, Seoul, Korea (Republic of)

    Prof. Dr. James J. Park

  2. Department of Business Science, University of Salerno, Salerno, Italy

    Prof. Vincenzo Loia

  3. Department of Multimedia Engineering, Dongguk University, Seoul, Soul-t’ukpyolsi, Korea (Republic of)

    Prof. Gangman Yi

  4. Department of Multimedia Engineering, Dongguk University, Seoul, Soul-t’ukpyolsi, Korea (Republic of)

    Prof. Yunsick Sung

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Kim, S., Yoon, Y. (2018). Hybrid Sensing and Behavior-Aware in Pedestrian Hazard Detection. In: Park, J., Loia, V., Yi, G., Sung, Y. (eds) Advances in Computer Science and Ubiquitous Computing. CUTE CSA 2017 2017. Lecture Notes in Electrical Engineering, vol 474. Springer, Singapore. https://doi.org/10.1007/978-981-10-7605-3_178

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  • DOI: https://doi.org/10.1007/978-981-10-7605-3_178

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