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Journals / International Journal of Automotive Engineering and Technologies / 2020 / Cilt: 9 - Sayı: 2

Small size vehicle application with lane tracking capability via CHEVP algorithm

Abdulhamit SEVGİ
Emel SOYLU
Raif BAYIR
Pages
76–85
Publication Date
2020-06-08
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

From the real-time experimental studies, high-performance results were obtained.

📌 3 Key Takeaways

🎯
Objective & Hypothesis:Humans are living things that make mistakes.
📊
Key Findings & Data:Failure of drivers while driving can cause life, cost, organ loss.
💡
Conclusion & Impact:From the real-time experimental studies, high-performance results were obtained.
🔬Design:Research Article
📍Scope:Comprehensive Sample
⚙️Variables:Lane Tracking · CHEVP · autonomous vehicle

Abstract

Humans are living things that make mistakes. Failure of drivers while driving can cause life, cost, organ loss. Some accidents may remain traumatic in people's memory and adversely affect their future lives. Traffic rules have been developed to prevent such accidents. Traffic is formally organized in many jurisdictions, with marked lanes, junctions, intersections, interchanges, traffic signals, or signs. Rules of the road and driving etiquette are the general practices and procedures that road users are required to follow. Thanks to these guides placed on the roads, drivers can go on the road in harmony. Despite all these precautions, there are many traffic accidents caused by the driver's carelessness, sleeplessness and tiredness. In today's technology, it is possible to utilize methods of processing images from cameras located in the vehicle to minimize driver-induced accidents. In this study, a prototype system was established in order to use the technologies used in autonomous vehicles and to teach these technologies. Camera and computer are placed on a battery-powered vehicle. Using the OpenCV library, lane tracking is performed successfully using the Canny/Hough Estimation of Vanishing Points (CHEVP) method. The developed system is suitable for the use and development of image processing technologies that are used in autonomous vehicle technology. The system is tested in real-time on a designed runway. From the real-time experimental studies, high-performance results were obtained.

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Cite This Article

SEVGİ, A., SOYLU, E., BAYIR, R. (2020). Small size vehicle application with lane tracking capability via CHEVP algorithm. International Journal of Automotive Engineering and Technologies, Cilt: 9 - Sayı: 2, 76–85. https://ajindex.com/articles/258231

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