Search Results - (( lane detection system algorithm ) OR ( _ classification system algorithm ))
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Advances in lane marking detection algorithms for all-weather conditions
Published 2021“…The review methodology consists of two major areas, which are a review on the general system models employed in the lane marking detection algorithms and a review on the types of weather conditions considered for the algorithms. …”
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Universiti malaysia pahang autonomous shuttle Development : Lane classification analysis using convolutional neural network (CNN)
Published 2022“…The accuracy of the lane classification system network is 91.97%.…”
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Conference or Workshop Item -
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Universiti Malaysia Pahang autonomous shuttle development : Lane classification analysis using Convolutional Neural Network (CNN)
Published 2022“…The accuracy of the lane classification system network is 91.97%.…”
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Conference or Workshop Item -
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Deep-learning-based detection of missing road lane markings using YOLOv5 algorithm
Published 2021“…In this work, preliminary study of the implementation of one of the latest deep learning algorithms, i.e. YOLOv5, has been carried out in the detection and classification of missing road lane markings. …”
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Proceeding Paper -
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Pengesan lalu lintas dengan kaedah pemerosesan imej
Published 2001“…Recently cameras and image processing with high-speed computers were beginning to be adopted for traffic surveillance system. 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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Traffic monitoring system with emergency support using SOM
Published 2020“…Several processes will implement such pre-processing, as well as feature extraction, for better classification and localization process. In the classification section, all the processed parameters are input into the classification algorithm to classify the groups to which the input parameters belong. …”
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Final Year Project / Dissertation / Thesis -
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Automated Vehicle Classification (AVC) using machine learning implementation in Malaysia's toll system
Published 2024“…Thus, this project aims to develop the best model detector for an automated vehicle classification system using computer vision and machine learning algorithms to enhance toll collection efficiency. …”
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Book Chapter -
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Traffic Detectors Using Image Processing Method (Pengesan Lalu Lintas Dengan Kaedah Pemprosesan Imej)
Published 2001“…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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Lane markings detection based on e-maxima transformation and improved hough
Published 2012“…The potential of such a system is further linked to the system with the vehicles’ turn signal, whereby the system will be able to detect an unintentional drift out of the lane.…”
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Thesis -
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Approach for detecting lane line boundaries / Mamadou Baldeh
Published 2020“…Lane detection is a fundamental aspect of most current advanced driver assistance systems (ADASs). …”
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A hyperbola-pair based lane detection system for vehicle guidance
Published 2010“…The proposed lane detection algorithm can be applied on both painted and unpainted road as well as curved and straight road. …”
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Proceeding Paper -
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Deep learning-based single-shot and real-time vehicle detection and ego-lane estimation
Published 2020“…This architecture allows simultaneous detection of vehicles and estimation of ego-lanes in a single-shot. …”
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Road triangle detection for non-road area elimination using lane detection and image multiplication
Published 2017“…Therefore, this paper focuses on intelligent transport system (ITS), in which some of the background characteristics such as trees, road divider, and buildings interfere in the detection system algorithm. …”
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Lane detection in autonomous vehicles : A systematic review
Published 2023“…Adaptive Cruise Control, Automatic Braking/Steer Away, Lane-Keeping System, Blind Spot Assist, Lane Departure Warning System, and Lane Detection are examples of ADAS. …”
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Vision-Based Autonomous Vehicle Driving Control System
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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Thesis -
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Vision-based autonomous vehicle driving control system
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 -
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Lane detection system for autonomous vehicle using image processing techniques
Published 2005“…The problem of using computer vision to develop lane detection system for autonomous vehicle is road marking characteristic. …”
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Thesis -
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Automatic Detection of Damaged Roads and Lane Detection using Deep Learning
Published 2025“…This project introduces an automated system for detecting road surface damages and identifying lane markings using Deep Learning, YOLO (You Only Look Once), and Canny edge detection. …”
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Modelling of lane departure warning system as car driving assistance using Android based system
Published 2017“…This project introduced a Lane Departure Warning System which the system monitor and assist driver during driving by using Android mobile device. …”
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Student Project
