Search Results - (( lane detection ((a algorithm) OR (_ algorithm)) ) OR ( based optimization strategy algorithm ))*

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  1. 1

    Advances in lane marking detection algorithms for all-weather conditions by Ab. Ghani, Hadhrami, Besar, Rosli, Md. Sani, Zamani, Kamaruddin, Mohd Nazeri, Syahali, Syabeela, Mohamed Daud, Atiqullah, Martin, Aerun

    Published 2021
    “…Therefore, this paper conducts a thorough review on vision-based lane marking detection algorithms developed for all-weather conditions. …”
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  2. 2

    Pre-processing methods for vehicle lane detection / Muhammad Naim Mazani ... [et al.] by Mazani, Muhammad Naim, Abdul-Rahman, Shuzlina, Mutalib, Sofianita

    Published 2020
    “…The experimental results showed that the proposed algorithms could be practical in terms of effectively detecting road lines and generate lane detection…”
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  3. 3

    A new approach to highway lane detection by using hough transform technique by Aminuddin, Nur Shazwani, Mat Ibrahim, Masrullizam, Mohd Ali, Nursabillilah, Ahmad Radzi, Syafeeza, Mohd Saad, Wira Hidayat, Darsono, Abdul Majid

    Published 2017
    “…Thus, this algorithm aims to detect the road lanes for three significant parameter operations; vanishing point detection, road width measurements, and Region of Interest (ROI) of the road area, for detection purposes.The techniques used in the algorithm are image enhancement and edges extraction by Sobel filter, and the main technique for lane detection is a Hough Transform. …”
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  4. 4

    Lane markings detection based on e-maxima transformation and improved hough by Xiao, Rui

    Published 2012
    “…The feature of roadway has certain degree of curvature and constraints, for instance, no sudden road turn is the design for road safety driving. A short segment of a long curve with a relatively low curvature is approximated as a straight line, based on this point, the important contribution of this thesis presents a lane detection algorithm using E-MAXIMA transformation and improved Hough transform which is the algorithm with great efficiency, high robustness and also at low cost to detect road lane markings. …”
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    Thesis
  5. 5

    Road lane detection using h-maxima and improved hough transform by Kamarul Hawari, Ghazali, Xiao, Rui, Ma, Jie

    Published 2012
    “…A fast and improved algorithm with the ability to detect unexpected lane changes is aimed in this paper. …”
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    Approach for detecting lane line boundaries / Mamadou Baldeh by Baldeh, Mamadou

    Published 2020
    “…In this paper, previous vision based lane detection studies are reviewed in terms of three aspects, which are lane detection algorithms, integration, and evaluation methods. …”
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    Thesis
  10. 10

    Evaluation of outlier filtering algorithms for accurate measurement of travel time reliability incorporating lane-splitting situations / Obada M. A. Asqool by Obada , M. A. Asqool

    Published 2022
    “…However, there is a real need to determine which algorithms can produce the most accurate results when considering actual and large datasets from lane-splitting situations. …”
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    Lane detection system for autonomous vehicle using image processing techniques by Mohd Kiblee, Shahizul Eza

    Published 2005
    “…A Radon peak detection algorithm was developed based on two values, Rand O. …”
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    Thesis
  13. 13

    Vision-Based Autonomous Vehicle Driving Control System by Isa, Khalid

    Published 2005
    “…The algorithm gave good result in detecting straight and smooth curvature lane on highway even when the lane was afTected by shadow. …”
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  14. 14

    Vision-based autonomous vehicle driving control system by Isa, Khalid

    Published 2005
    “…The algorithm gave good result in detecting straight and smooth curvature lane on highway even when the lane was affected by shadow. …”
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    Thesis
  15. 15

    Lane detection in autonomous vehicles : A systematic review by Noor Jannah, Zakaria, Mohd Ibrahim, Shapiai, Rasli, Abd Ghani, Mohd Najib, Mohd Yassin, Mohd Zamri, Ibrahim, Nurbaiti, Wahid

    Published 2023
    “…This article reviews the methods employed for lane detection in an autonomous vehicle. A systematic literature review (SLR) has been carried out to analyze the most delicate approach to detecting the road lane for the benefit of the automation industry. …”
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  16. 16

    Automatic Detection of Damaged Roads and Lane Detection using Deep Learning by Kotakonda Sandhya, Rani, Kommi, Chandana, Nallamalla, Kavya, Kasireddy, Poojitha, Thalla, Pallavi

    Published 2025
    “…At the same time, the Canny edge detection method identifies lane boundaries, ensuring precise lane detection even in challenging environments. …”
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  17. 17

    A review of YOLO algorithm and its applications in autonomous driving object detection by Wei, Jiapei, As'arry, Azizan, Md Rezali, Khairil Anas, Mohamed Yusoff, Mohd Zuhri, Ma, Haohao, Zhang, Kunlun

    Published 2025
    “…This paper reviews the YOLO algorithm and its application in object detection in autonomous driving scenarios. …”
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  18. 18

    Pengesan lalu lintas dengan kaedah pemerosesan imej by Riza Atiq O.K.Rahmat, Kasmiran Jumari, Azmi Hassan, Hassan Basri

    Published 2001
    “…This study was conducted to develop efficient traffic detector using image-processing with a personal compute I: Traffic images were captured using ordinary analogue video camera and digitised using a video blastel: Four algorithms were developed i. e. algorithm for traffic counting, algorithm for vehicle classification. algorithm to determine the speed of the counted vehicles and algorithm for incident detection. …”
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  19. 19

    Universiti malaysia pahang autonomous shuttle Development : Lane classification analysis using convolutional neural network (CNN) by Yee, Lee Yin, Muhammad Aizzat, Zakaria

    Published 2022
    “…In this study, an improved classification algorithm using deep learning specifically convolutional neural network is used to detect the lane markers. …”
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    Road lane tracking based on monocular vision by Al-Amoodi, Abdullah, Balfaqih, Omar, Htike@Muhammad Yusof, Zaw Zaw

    Published 2015
    “…In this paper, an algorithm was developed to obtain a robust real-time lane tracking under a sudden appearance of obstacles such as vehicles and shadows. …”
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