Performance Analysis of Lane Detection Algorithm using Partial Hough Transform
P. Maya, C. Tharini
Abstract
The modern world requires intelligent vehicle systems. The lane detection is one of the key process steps in intelligent vehicle systems. This paper proposes a new optimized approach to lane detection using partial Hough transform with image enhancement techniques. A proposed partial Hough parameter space is used for detecting lanes and the approach is verified with different image sets. This method of detection follows fixing region of interest, gray scale conversion of the image, edge detection and lane detection using proposed partial Hough transform. The results of lane detection is compared to the standard Hough transform approach and the improvements are discussed.
Topics & Concepts
Hough transformComputer visionArtificial intelligenceComputer scienceEdge detectionImage (mathematics)Enhanced Data Rates for GSM EvolutionKey (lock)Scale-invariant feature transformImage processingPattern recognition (psychology)AlgorithmComputer securityAutonomous Vehicle Technology and SafetyImage and Object Detection TechniquesSmart Agriculture and AI