"Robust Lane Detection in Shadows and Low Illumination Conditions using Local Gradient Features"
written by Avishek Parajuli, Mehmet Celenk, H. Bryan Riley,
published by Open Journal of Applied Sciences, Vol.3 No.1B, 2013
has been cited by the following article(s):
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[24] Daytime Road Marker Recognition Using Grayscale Histogram and Pixel Values
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[25] Accurate and robust lane detection based on Dual-View Convolutional Neutral Network
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[26] A REVIEW ON LANE DETECTION AND TRACKING TECHNIQUES
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[29] Image Processing based Lane Departure Warning System Using Hough Transform and Euclidean Distance
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[30] Multi-lane Detection Based on RMFP for Autonomous Vehicle Navigation in Urban Environments
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[31] Semantic Evidential Lane Grids with Prior Maps for Autonomous Navigation
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[32] Detección y seguimiento de vehículos mediante análisis de imágenes
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[33] Performance Assessment of Predictive Lane Boundary Detection for Non-uniformly Illuminated Roadway Driving Assistance
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[34] 차로 수 정보와 텍스쳐 분석을 활용한 주행가능영역 검출 알고리즘
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[35] Traversable Region Detection Algorithm using Lane Information and Texture Analysis
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[36] Detección de vehículos mediante análisis de imágenes
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[37] Real-time daytime road marker recognition using features vectors and neural network
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[38] Real time road lane markers detection for intelligent vehicles
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[39] Lane Detection System Based on a Natural Image Enhancement Technique?
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[40] Model-Based Robust Lane Detection for Driver Assistance
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[41] Lane Departure Identification for Advanced Driver Assistance
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[42] Review on Lane Detection and Departure warning Algorithms
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[43] Lane Detection System Based on a Natural Image Enhancement Technique
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[44] Predictive Lane Boundary-Detection in Roads with Non-Uniform Surface Illumination
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