Mustafa Şinasi AYAS, İsmail Hakkı ALTAŞ, Turhan ALÇELİK

Fast measurement of headlamps by means of a developed fuzzy luxmeter based on a fuzzy mapping algorithm

The importance of an automobile s headlamps in the dark is inferable from the results of studies. Various regulations are available in order to arrange the required illuminance values at certain positions on the road. The designed and produced headlamps have to satisfy the requirements of these regulations. Manual measurement tools, such as the luxmeter (which are based on point-by-point measurements), have traditionally been used. This traditional way has been considered inefficient in terms of awkward setup procedures, complexity, the continuous intervention of human operators, and costs. In this study, in order to overcome these problems, a new approach for measuring the illuminance values is proposed. Combining a digital still camera with a fuzzy mapping algorithm, a fast and economic tool to measure the illuminance values of the entire measuring screen is developed. The proposed method was tested on two different brands of headlamps and its effectiveness has been proved.

PDF

___

[1] Traffic Safety Facts Research Note of NHTSA, Passenger Vehicle Occupant Fatalities by Day and Night A Contrast, http://www-nrd.nhtsa.dot.gov/Pubs/810637.pdf, May 2007.
[2] Traffic Safety Facts Research Note of NHTSA, 2010 Motor Vehicle Crashes: Overview, http://wwwnrd.nhtsa.dot.gov/Pubs/811552.pdf, revised February 2012.
[3] Regulation No 112 of the Economic Commission for Europe of the United Nations (UN/ECE) Uniform provisions concerning the approval of motor vehicle headlamps emitting an asymmetrical passing beam or a driving beam or both and equipped with filament lamps and/or LED modules, Official Journal of the European Union, 2010, pages 230-264.
[4] Road lightingPart 3: Calculation of performance. European standard EN 13201-3. publication 270-2003. Ref. No. EN 13201-3:2003 E.
[5] Cattoen M, Royo S, Arranz M, Aras J, Seat H. Compact system for photometric characterization of automotive headlamps. In: IMTC 2005 - Instrumentation and Measurements Technology Conference; 1619 May 2005; Ottawa, Canada. pp. 1669-1674.
[6] Ohana K. Illuminance measurement of vehicle lamp. US Patent #5,426,500, 1995.
[7] Bevilacqua A, Gherardi A, Carozza L. An industrial vision-based technology system for the automatic test of vehicle beams. In: IEEE International Symposium on Industrial Electronics; 58 July 2009; Seoul, Korea. pp. 2178-2183.
[8] Royo S, Arranz MJ, Arasa J, Cattoen M, Bosch T. Compact low-cost unit for photometric testing of automotive headlamps. Opt Eng 2006; 45: 063602.
[9] Wu HH, Lee YP, Chang SH. Fast measurement of automotive headlamps based on high dynamic range imaging. Appl Optics 2012; 51: 6870-6880.
[10] Kutter O, Karamalis A, Wein W, Navab N. A gpu-based framework for simulation of medical ultrasound. Proc of SPIE 2009; 7261: 17.
[11] Hosseini R, Dehmeshki J, Barman S, Mazinani M, Jouannic AM, Qanadli S. A fuzzy logic system for classification of the lung nodule in digital images in computer aided detection. In: Fourth International Conference on Digital Society; 1016 February 2010; St. Maarten, Netherlands Antilles. pp. 255-259.
[12] Rajeshbaba M, Anitha T. Detect and separate localization text in various complicated-colour image. In: International Conference on Circuits, Power and Computing Technologies; 2021 March 2013; Nagercoil, India. pp. 866-872.
[13] Abdel-Azim G, Nasri S. Textile defects identification based on neural networks and mutual information. In: International Conference on Computer Applications Technology; 2022 January 2013; Sousse, Tunisia. pp. 1-6.
[14] Zadeh LA. Fuzzy sets. Inform Control 1965; 8: 338-353.
[15] Altas IH, Sharaf AM. A generalized direct approach for designing fuzzy logic controllers in matlab/simulink gui environment. Int J IT&IC 2007: 1(4).
[16] Cheng HD, Xu H. A novel fuzzy logic approach to contrast enhancement. Pattern Recogn 2000; 33: 809-819.
[17] Alshennawy AA, Aly AA. Edge detection in digital images using fuzzy logic technique. World Academy of Science, Engineering and Technology 2009; 27: 178-186.
[18] Chacon MMI, Aguilar L, Delgado A. Definition and applications of a fuzzy image processing scheme. In: Digital Signal Processing Workshop; 1316 October 2002; Georgia, USA. pp. 102-107.
[19] W¨uller D, Gabele H. The usage of digital cameras as luminance meters. Proc of SPIE-IS&T 2007; 6502: 65020U1- 65020U11.
[20] Electronic Still-Picture Camera Reflection Test Chart: Normal Contrast, ISO-14524:1999.
[21] UN Vehicle Regulations - 1958 Agreement, http://www. unece.org/trans/main/wp29/wp29regs41-60.html, ECE Addendum 55: Regulation No. 56 (P.19 Annex5, 1.2).