Lane detection using Fourier-based line detector

Rahmdel, Payam S.; Shi, Daming; Comley, Richard

doi:10.1109/mwscas.2013.6674889

Cited by 10 publications

(2 citation statements)

References 14 publications

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“…The applicability of the method is illustrated by the experiments and comparisons with other algorithms. Payam S. Rahmdel et al 2013 [10] A different method to road marker detection concern is presented in this particular paper as a major complement for a semi/fully autonomous driver assistance system. The given method uses a the state-of-the-art advance lane detector (ALD) as well as multilayer fractional Fourier transform (MLFRFT) as advanced line detector.…”

Section: Related Workmentioning

confidence: 99%

A Review on the Artificial Bee Colony & Clahe Based Hybrid Hough Transform For Efficient Lane Detection

Multani

Marwaha²

2017

IJECS

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This paper represents that lane coloration has become popular in real time vehicular ad-hoc system. Lane detection is normally helpful to localize path limits, determine undesired lane variations, and to enable approximation of the upcoming geometry of the road. There are different types of methods that are used for detecting lines, curves and ellipses i.e. hough transform, clustering and curve fitting. The overall objective of this paper is to providing better performance in lane coloration algorithm. The methods developed till now are working effectively as well as giving good results.

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Section: Related Workmentioning

confidence: 99%

A Review on the Artificial Bee Colony & Clahe Based Hybrid Hough Transform For Efficient Lane Detection

Multani

Marwaha²

2017

IJECS

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“…Hsiao et al 4 proposed an edge detector based on the mean and the standard deviation of the pixels in 3 3 3 masks; the process performance for the image size of 256 3 256 is about 25 frames/s. A lane-detection-based Fourier transform 19 has also been proposed. Apart from the above-mentioned feature-driven methods for finding the lane edges, a lane-region analysis, which can be modeled as a classification problem based on color space and texture, is usually applied to lane detection.…”

Section: Introductionmentioning

confidence: 99%

Multiscale matched filter-based lane detection scheme of the constant false alarm rate for driver assistance

Zhang

Song

Cao

2014

Proceedings of the Institution of Mechanical Engineers, Part D:

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Real-time lane detection is an important element for driver assistance systems in rapidly changing traffic scenarios. In this paper, an embedded lane detection platform combining a high-dynamic-range image sensor is proposed. As for the software development, a multiscale matched filter scheme is successfully used to enhance the local contrast between the lane markings and the background interference for different traffic scenarios. Then, an intelligent constant-false-alarmrate detector is designed to generate an adaptive threshold for extraction of the lane markings. As for hardware implementation, a field programmable gate array is used for obtaining a high-dynamic-range image, and then matched filters achieve their optimal design based on the coefficient decomposition technology in the form of a fixed point number. Subsequently, through a high-speed serial peripheral interface bus, all pre-processed data are transferred to an ARM processor, which takes charge of extraction of the lane markings and also lane fitting. Experiments and evaluation prove that the proposed system can effectively detect the lane markings for different traffic scenarios in a time of 11.64 ms for each frame.

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Image Processing Based Lane Crossing Detection Alert System to Avoid Vehicle Collision

Priyangha¹,

Thiyaneswaran²,

Yoganathan³

2020

Computational Vision and Bio-Inspired Computing

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Lane detection using Fourier-based line detector

Cited by 10 publications

References 14 publications

A Review on the Artificial Bee Colony & Clahe Based Hybrid Hough Transform For Efficient Lane Detection

A Review on the Artificial Bee Colony & Clahe Based Hybrid Hough Transform For Efficient Lane Detection

Multiscale matched filter-based lane detection scheme of the constant false alarm rate for driver assistance

Image Processing Based Lane Crossing Detection Alert System to Avoid Vehicle Collision

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