Skip to main content

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 482))

  • 1074 Accesses

Abstract

How to ensure the safety of a locomotive is a crucial problem, when it moves in a curved railway at night. For solving this problem, a new adaptive locomotive headlamp system based on monocular vision is proposed in this paper. The method consists of two key steps. First, a single-camera is provided to capture the tracks in front of the locomotive, and an image processing algorithm is proposed to obtain the key related parameters. Next, combined with the position feedback signal of the headlamps and the parameters obtained in the previous step, an adaptive control method is proposed to rotate the headlamps. By this way, the light emitted from the headlamps will always be on the axis of the railway, thus ensuring the safety of the locomotive.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 129.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 169.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 169.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Бaяaбин BH, Dongyun Z (1990) Locomotive should be equipped with rotary headlamps. Foreign Diesel Locomotives (8):13–17 (in Chinese)

    Google Scholar 

  2. Hengjun Z, Yanxin X (1996) Study on control method of rotating locomotive headlamp. J Beijing Jiaotong Univ (4):489–494 (in Chinese)

    Google Scholar 

  3. Hua Y (2005) Design and implementation of automatic tracking system for embedded locomotive headlight. J Univ Electron Sci Technol China (in Chinese)

    Google Scholar 

  4. Geng W (2009) Design and realization of automatic steering device for locomotive headlamp. University of Electronic Science and Technology of China (in Chinese)

    Google Scholar 

  5. Qingsuo S (2010) Research and implementation of intelligent locomotive headlamp control system. Lanzhou University of Technology (in Chinese)

    Google Scholar 

  6. Shihua D (2015) Design and implementation of locomotive headlamp control system based on LKJ2000. J Comput Appl Softw (6):220–223 (in Chinese)

    Google Scholar 

  7. Liang D, Bao xue C, Jian bin Z (2011) Calculation model of AFS headlamps rotation. Mech Eng China (7):864–869 (in Chinese)

    Google Scholar 

  8. Weifeng W, Qing W, Zhanyong L (2009) Modeling and simulation of adaptive headlamp control. J Wuhan Univ Technol (9):70–74 (in Chinese)

    Google Scholar 

  9. Weiwei Z, (2015) Vehicle detection and tracing for driving assistance system. Hunan University (in Chinese)

    Google Scholar 

  10. Tianhong Y (2006) Lane departure warning system based on machine vision. Jilin University (in Chinese)

    Google Scholar 

  11. Jingjing G (2007) Lane line detection and recognition based on monocular vision. Harbin Institute of Technology (in Chinese)

    Google Scholar 

  12. Maliang S (2013) Traffic warning based on monocular vision. Kunming University of Science and Technology (in Chinese)

    Google Scholar 

  13. Hongfeng M (2014) Distributed intelligent technology for monitoring obstacles in railways based on machine vision. Lanzhou Jiaotong University (in Chinese)

    Google Scholar 

Download references

Acknowledgements

2017 Hunan Provincial Department of Education Scientific Research Project—Research on Intelligent Follower Track Control of Train Front Light Based on Monocular Vision, issue number: 17C1041.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Juan Gong .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2018 Springer Nature Singapore Pte Ltd.

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Gong, J. (2018). Adaptive Locomotive Headlamp System Based on Monocular Vision. In: Jia, L., Qin, Y., Suo, J., Feng, J., Diao, L., An, M. (eds) Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017. EITRT 2017. Lecture Notes in Electrical Engineering, vol 482. Springer, Singapore. https://doi.org/10.1007/978-981-10-7986-3_72

Download citation

  • DOI: https://doi.org/10.1007/978-981-10-7986-3_72

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-7985-6

  • Online ISBN: 978-981-10-7986-3

  • eBook Packages: EnergyEnergy (R0)

Publish with us

Policies and ethics