Lane departure algorithm based on classification roadway type using DGPS/GIS

AUTHORS

Ihn-Sik Weon,Dept of Mechanical Engineering, Graduated School, Kyung Hee University, Yongin-si, Korea
Soon-Geul Lee,Dept of Mechanical Engineering, Kyung Hee University, Yongin-si, Korea

ABSTRACT

This paper suggestion detection algorithm when the vehicle depart lane boundary using GIS based on DGPS in the whole roadways. Lane segments obtained by GIS will be calculated its relative distance based on vehicle position. The lane segments are composed of consecutive straight lines and have a steady numerical error of design. In the curved section, its numerical error is bigger upon characteristics. Curve lane section, overlap area made of Bezier curve is calculated departure distance through continuity of driving characteristic and determines lane departure at curved roadways. To verify for proposed algorithm, lane departure test has driven 2-times of lane departure at each roadways. The result of compared between vision and departure alarm is showed driver its time within 0.1 seconds.

 

KEYWORDS

Lane departure, Intelligent function, Precision Localization, Bezier curvev, Classification roadway, DGPS/GIS

REFERENCES

[1]    Intelligent Transport System. Lane Departure Warning Systems-Performance requirements and test procedures. ISO 17361, (2007)
[2]    Jung, H., Lee, Y., Kang, H. and Kim, J. Sensor fusion-based lane detection for LKS+ ACC system. International journal of automotive technology (2009), Vol. 10, pp. 219-228.
[3]    Kim, M. W., Moon, S. C., Joo, D. N. and Lee, S. G., Matching GIS Lane Data with Vehicle Position Using Camera Image. Transactions of the Korean Society of Automotive Engineers (2014), No. 22, pp. 40-47.
[4]    Leng, Y. C. and Chen, C. L. Vision-based lane departure detection system in urban traffic scenes. Control Automation Robotics & Vision (ICARCV), 2010 11th International Conference. (2010) pp. 1875-1880.
[5]    Moon, S. C., Kim, M. W., Joo, D. N. and Lee, S. G. GPS-RTK Solution Using WAVE Communication for Vehicle. 20th ITS World Congress, (2013).
[6]    Moon, S. C., Lee, S. G. and Kim, D. H., Classification of Roadway Type Based on Roadway Characteristics Using RCCC. International Journal of Applied Engineering Research, No. 10, pp. 27587-27592.
[7]    Moon, S. C., Lee, S. G., Kim, J. J. and Kim, B. S. Detecting Lane Departure Based on GIS Using DGPS. Transactions of the Korean Society of Automotive Engineers (2012), No. 20, pp. 16-24.
[8]    Moon, S. C (2012). A Study on Detecting Lane Departure using DGPS/RTK Based on GIS in Highway Straight section. Kyung Hee Univ, Master's thesis.
[9]    Moon, S. C, Lee, S. G., Kim, M. W. and Joo, D. N., Assessment and Reliability Validation of Lane Departure Assistance System Based on DGPS-GIS Using Camera Vision. Transactions of the Korean Society of Automotive Engineers (2014), No. 22, pp. 49-58.
[10]  Ozguner, U., Stiller, C. and Redmill, K., Systems for safety and autonomous behavior in cars: The DARPA Grand Challenge experience. PROCEEDINGS-IEEE (2007), 95, 397.

CITATION

  • APA:
    Weon,I.S.& Lee,S.G.(2019). Lane departure algorithm based on classification roadway type using DGPS/GIS. International Journal of Smart Home , 13(1), 1-6. 10.21742/IJSH.2019.13.1.01
  • Harvard:
    Weon,I.S., Lee,S.G.(2019). "Lane departure algorithm based on classification roadway type using DGPS/GIS". International Journal of Smart Home , 13(1), pp.1-6. doi:10.21742/IJSH.2019.13.1.01
  • IEEE:
    [1] I.S.Weon, S.G.Lee, "Lane departure algorithm based on classification roadway type using DGPS/GIS". International Journal of Smart Home , vol.13, no.1, pp.1-6, May. 2019
  • MLA:
    Weon Ihn-Sik and Lee Soon-Geul. "Lane departure algorithm based on classification roadway type using DGPS/GIS". International Journal of Smart Home , vol.13, no.1, May. 2019, pp.1-6, doi:10.21742/IJSH.2019.13.1.01

ISSUE INFO

  • Volume 13, No. 1, 2019
  • ISSN(p):1975-4094
  • ISSN(e):2383-725X
  • Published:May. 2019

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