With the growth of urban traffic, ensuring traffic safety is becoming an increasingly significant factor. There should be some advancements in technology to achieve the goal of traffic safety. Various high-tech research and studies are going on in this domain considering road and people safety. The project “Road Lane Line Detection” aims to address these issues by detecting the lane lines on the road and providing directions to drivers based on lane markings. The project uses computer vision techniques to detect the lane lines and works in real time on video streams. The system can find lane lines in different weather conditions and during nighttime. Real-time visual feedback is also provided to the driver by the system, indicating the direction of the detected road lane lines. The direction can be straight, left, or right, depending on the position of the lane lines. Hence, this project demonstrates the potential of computer vision techniques in strengthening road safety, thus providing real-time feedback to drivers based on lane markings. Self-driving cars can also benefit from this solution.


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    Titel :

    Road Lane Line Detection


    Weitere Titelangaben:

    Lect. Notes in Networks, Syst.


    Beteiligte:
    Fong, Simon (Herausgeber:in) / Dey, Nilanjan (Herausgeber:in) / Joshi, Amit (Herausgeber:in) / Srivastava, Shreesh (Autor:in) / Sheth, Bhavya (Autor:in) / Shah, Pratham (Autor:in) / Ingle, Darshan (Autor:in)

    Kongress:

    International Conference on ICT for Sustainable Development ; 2023 ; Goa, India August 03, 2023 - August 04, 2023



    Erscheinungsdatum :

    2023-12-22


    Format / Umfang :

    10 pages





    Medientyp :

    Aufsatz/Kapitel (Buch)


    Format :

    Elektronische Ressource


    Sprache :

    Englisch




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