Lane Detection by Dynamic Origin Technique for Advanced Driver Assistance System

• Autorzy: Maya P. , Tharini C.

Identyfikatory

DOI

10.24425/ijet.2021.137850

• Języki publikacji: EN

Abstrakty

EN

Lane detection is one of the key steps for developing driver assistance and vehicle automation features. A number of techniques are available for lane detection as part of computer vision tools to perform lane detection with different levels of accuracies. In this paper a unique method has been proposed for lane detection based on dynamic origin (DOT). This method provides better flexibility to adjust the outcome as per the specific needs of the intended application compared to other techniques. As the method offers better degree of control during the lane detection process, it can be adapted to detect lanes in varied situations like poor lighting or low quality road markings. Moreover, the Piecewise Linear Stretching Function (PLSF) has also been incorporated into the proposed method to improve the contrast of the input image source. Adding the PLSF method to the proposed lane detection technique, has significantly improved the accuracy of lane detection when compared to Hough transform method from 87.88% to 98.25% in day light situations and from 94.15% to 97% in low light situations.

Słowa kluczowe

EN

advanced driver assistance system; ADAS; machine vision research; lane detection; piecewise linear stretching function; slope detection

• Wydawca: Polish Academy of Sciences, Committee of Electronics and Telecommunication
• Czasopismo: International Journal of Electronics and Telecommunications
• Rocznik: 2021
• Tom: Vol. 67, No. 4
• Strony: 589--594
• Opis fizyczny: Bibliogr. 31 poz., fot., schem., tab., wykr.

Twórcy

autor

Maya P.

• B S Abdur Rahman Crescent Institute of Science and Technology, Chennai, India

autor

Tharini C.

• B S Abdur Rahman Crescent Institute of Science and Technology, Chennai, India

Bibliografia

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