2022
DOI: 10.1155/2022/9329715
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Sharpening and Detection of Road Studs for Intelligent Vehicles at Nighttime

Abstract: Intelligent vehicles need to survive against various environments on roads such as sunlit, unclear, showery, shadowy, and inside tunnel conditions. This research designs a robust approach for detecting road studs at nighttime, which is the combination of various statistical methods. This detection approach is a unique approach developed for the detection of road lanes instead of road-painted lanes. Therefore, we detect road studs (cat eyes) instead of the painted lanes on roads at nighttime as the road studs h… Show more

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Cited by 3 publications
(3 citation statements)
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“… Apply a fourth-order Butterworth transform [19] after performing a Fast Fourier Transform (FFT) on the raw digital data. High-pass filter with infinite impulse response and a cutoff of 0.04 Hz is used to filter out passive items (i.e., the presence of items with a Doppler signature at 0 Hz or near to it).…”
Section: Processing Stepsmentioning
confidence: 99%
“… Apply a fourth-order Butterworth transform [19] after performing a Fast Fourier Transform (FFT) on the raw digital data. High-pass filter with infinite impulse response and a cutoff of 0.04 Hz is used to filter out passive items (i.e., the presence of items with a Doppler signature at 0 Hz or near to it).…”
Section: Processing Stepsmentioning
confidence: 99%
“…The ego vehicle will recognize the lane lines and the curves in the lane in front of it for the LA to function properly. Here canny edge detection algorithm is used for detecting the lanes that use a multi-stage algorithm to find different kinds of edges in pictures (7)(8)(9) . It works based on the chance in the intensity of the pixels in the edges which makes a lean path.…”
Section: Lane Detection and Assist Systemmentioning
confidence: 99%
“…Tis article has been retracted by Hindawi following an investigation undertaken by the publisher [1]. Tis investigation has uncovered evidence of one or more of the following indicators of systematic manipulation of the publication process:…”
mentioning
confidence: 99%