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http://dx.doi.org/10.5573/ieie.2015.52.2.148

A High-performance Lane Recognition Algorithm Using Word Descriptors and A Selective Hough Transform Algorithm with Four-channel ROI  

Cho, Jae-Hyun (University of Ulsan)
Jang, Young-Min (University of Ulsan)
Cho, Sang-Bok (University of Ulsan)
Publication Information
Journal of the Institute of Electronics and Information Engineers / v.52, no.2, 2015 , pp. 148-161 More about this Journal
Abstract
The examples that used camera in the vehicle is increasing with the growth of the automotive market, and the importance of the image processing technique is expanding. In particular, the Lane Departure Warning System (LDWS) and related technologies are under development in various fields. In this paper, in order to improve the lane recognition rate more than the conventional method, we extract a Normalized Luminance Descriptor value and a Normalized Contrast Descriptor value, and adjust image gamma values to modulate Normalized Image Quality by using the correlation between the extracted two values. Then, we apply the Hough transform using the optimized accumulator cells to the four-channel ROI. The proposed algorithm was verified in 27 frame/sec and $640{\times}480$ resolution. As a result, Lane recognition rate was higher than the average 97% in day, night, and late-night road environments. The proposed method also shows successful lane recognition in sections with curves or many lane boundary.
Keywords
Lane detection; Hough Transform; Image processing; Gamma Correction; Smart Vehicle;
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1 N. S. Kopeika and J. Bordogna., "Background noise in optical communication systems. Proc," IEEE, vol. 58, no. 10, pp. 1571-1577, Oct. 1970.   DOI   ScienceOn
2 J. P. Oakley and B. L. Satherley. "Improving image quality in poor visibility conditions using a physical model for contrast degradation," IEEE Trans. Image Process., vol. 7, no. 2, pp. 167-179, Feb. 1998.   DOI   ScienceOn
3 S. K. Nayar and S. G. Narasimhan. "Vision in bad weather," in Proc. IEEE Int. Conf. Computer Vision, vol. 2, pp. 820-827. 1999.
4 J. Reintjes, L. L. Tankersley, M. D. Duncan, and R. Mahon. "Timegated imaging through dense scatters with a Raman amplifier," Appl. Opt., vol. 32, no. 36, pp. 7425-7433, Dec. 1993.   DOI
5 S. Marengo, C. Pepin, T. Goulet, and D. Houde.: Time-gated trans illumination of objects in highly scattering media using a subpicosecond optical amplifier. IEEE J. Sel. Topics Quantum Electron., vol. 5, no. 4, pp. 895-901, Jul. (1999).   DOI   ScienceOn
6 C. Tan, G. Seet, A. Sluzek, and D. He.: A novel application of range-gated underwater laser imaging system (ULIS) in near-target turbid medium. Opt. Lett. Eng., vol. 43, no. 9, pp. 995-1009, Sep. (2005).
7 J. G. Walker, P. C. Y. Chang, and K. I. Hopcraft. "Visibility depth improvement in active polarization imaging in scattering media," Appl. Opt., vol. 39, no. 27, pp. 4933-4941, Sep. 2000.   DOI
8 D. B. Chenault and J. L. Pezzaniti. "Polarization imaging through scattering media," Proc. SPIE, vol. 4133, pp. 124-133, 2000.
9 Y. Y. Schechner, S. G. Narasimhan, and S. K. Nayar. "Polarization based vision through haze," Appl. Opt., vol. 42, no. 3, pp. 511-525, Jan. 2003.   DOI
10 Qingquan Li, Long Chen, Ming Li and Shih-Lung Shaw. "A Sensor-Fusion Drivable-Region and Lane-Detection System for Autonomous Vehicle Navigation in Challenging Road Scenarios," Vehicular Technology, IEEE Transactions on. vol.63, no.2, Feb. 2014.
11 Guangtao Cui, Junzheng Wang, Jing Li. "Robust multilane detection and tracking in urban scenarios based on LIDAR and mono-vision," Vehicular Technology, Image Processing, IET. vol.8, no.5, May. 2013.
12 Ji-Hue Bae and Jae-Bok Song, "Monocular Vision Based Lane Detection Using Segmented Regions from Edge Information," 2011 IEEE, 8th International Conference on Ubiquitous Robots and Ambient Intelligence (URAI), pp. 499-502, Incheon, Korea, Nov. 2011.
13 Y.Wang, E. K. Teoh and D. Shen, "Lane detection and tracking using B-snake," Image and Vision Computing. vol. 22, pp. 269-280. Apr. 2004.   DOI   ScienceOn
14 G. Keyou, Li Na and Z. Mo, "Lane detection Based on the Random Sample Consensus," Information Technology, Computer Engineering and Management Sciences (ICM), 2011 International Con. on Vol 3, pp. 38-41, Nanjing, Jiangsu, Sept. 2011.
15 T. Trung-Tien, Hyo-Moon Cho, Jong-Hwa Lee and Sang-Bock Cho, "A Novel Method for Lane Marking Detection in Various Conditions", 26th International Technical Conferenceon Circuits/Systems, Computersand Communications, (ITC-CSCC), pp.347-349. Gyeongju, Korea, June 2011.
16 Mohamed Aly. : Real Time Detection of Lane Markers in Urban Streets. Vehicular Technology, IEEE Intelligent Vehicles Symposium. Jun. 2008.
17 Amol Borkar, Monson Hayes and Mark T. Smith : A Novel Lane Detection System With Efficient Ground Truth Generation. Vehicular Technology, IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, vol. 13, no. 1, Mar. 2012.
18 Hough, P.V.C ., Method and means for recognizing, US Patent 3 069 654, 1960.
19 Alfredo Restrepo (Palacios) and Giovanni Ramponi. "Word Descriptors of Image Quality Based on Local Dispersion-versus-Location Distributions," 16th EUSIPCO 2008, Lausanne, Switzerland, August 25-29, 2008.
20 Fatemeh Mazrouei Sebdani, Hossein Pourghassem. "A Robust and Real-time Road Line Extraction Algorithm using Hough Transform in Intelligent Transportation System Application," Computer Science and Automation Engineering (CSAE), 2012 IEEE International Conference on. Vol. 3, pp. 256-260, Zhangjiajie, May 2012.
21 Y.Y. Park, S.B. Cho and J.H. Lee. "Block based Normalized Numeric Image Descriptor", Journal of the Institute of Electronics Engineers of Korea ,vol. 49 ,no. 2-SP , 2012   과학기술학회마을
22 Jiangeng Wang, Ye Wu, Zehua Liang and Yuanjun Xi, "Lane Detection Based on Random Hough Transform on Region of Interesting," 2010 IEEE, International Conference on Information and Automation, pp. 1735-1740, Harbin, China, Jun. 2010.
23 J. Canny, "A computational approach to edge detection," IEEE Trans. Pattern Anal. Mach. Intell., vol. PAMI-8, no. 6, pp. 679-698, Nov. 1986.   DOI   ScienceOn
24 Erdenetuya Tsogtbaatar, Y.M.Jang, J.H. Cho and S.B.Cho. "Lane Detection System Development based on Android using Optimized Accumulator Cells", Journal of the Institute of Electronics Engineers of Korea, vol. 51, no. 1, 126-136, 2014.   과학기술학회마을   DOI