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Ambulanceye – The Future of Medical Rescues

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Cognitive Systems and Signal Processing (ICCSIP 2016)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 710))

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Abstract

This study advances the concept of “ambulanceye” as a conjecture on the future of medical rescues, assuming that the advanced driver assistant systems (ADAS) can be equipped in ambulances and contribute to driving security through timely danger caution. Recognition of the danger is based on detecting and tracking of eigenobjects (defined as the potential dangerous objects in the video). Simulated performances shown that ambulanceye can overcome ocular restriction resulted from weathering extremes and other accidents that can cause sights blurred. Nevertheless, considerable uncertainties still remain in real-time analyses and characterization of eigenobjects trace. A next research priority is to develop an ADAS system for efficient eigenobjects recognition and tracking.

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Acknowledgments

This research was financially supported by the CAS ‘Light of West China’ Program (XBBS-2014-16), the Shenzhen Basic Research Project (JCYJ20150630114942260), the “Thousand Talents” plan (Y474161) and the National High Technology Research and Development Program (2013AA122302).

Author information

Authors and Affiliations

  1. State Key Laboratory of Desert and Oasis Ecology, Xinjiang Institute of Ecology and Geography, Chinese Academy of Sciences, Urumqi, 830011, Xinjiang, China

    Wenfeng Wang, Xi Chen & Hongwei Zheng

  2. Department of Electronic Engineering, Yantai Automobile Engineering Professional College, Yantai, 265500, China

    Huaying Zhou

  3. The Second Surgical Department, Zouping Hospital of Traditional Chinese Medicine, Zouping, 256200, China

    Dandan Sun

  4. Center for Geo-Spatial Information, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, 518055, China

    Jing Qian

Authors
  1. Wenfeng Wang
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  2. Xi Chen
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  3. Huaying Zhou
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  4. Hongwei Zheng
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  5. Dandan Sun
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  6. Jing Qian
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Corresponding authors

Correspondence to Xi Chen , Hongwei Zheng or Jing Qian .

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Editors and Affiliations

  1. Tsinghua University, Beijing, China

    Fuchun Sun

  2. Department of Computer Science and Technology, Tsinghua University, Beijing, China

    Huaping Liu

  3. College of Mechatronics and Automation, National University of Defense Technology, Changsha, China

    Dewen Hu

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Wang, W., Chen, X., Zhou, H., Zheng, H., Sun, D., Qian, J. (2017). Ambulanceye – The Future of Medical Rescues. In: Sun, F., Liu, H., Hu, D. (eds) Cognitive Systems and Signal Processing. ICCSIP 2016. Communications in Computer and Information Science, vol 710. Springer, Singapore. https://doi.org/10.1007/978-981-10-5230-9_59

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  • DOI: https://doi.org/10.1007/978-981-10-5230-9_59

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-5229-3

  • Online ISBN: 978-981-10-5230-9

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