Real time lane detection for autonomous vehicles

Assidiq, Abdulhakam A. M.; Khalifa, Othman O.; Islam, Md. Rafiqul; Khan, Sheroz

doi:10.1109/iccce.2008.4580573

Cited by 162 publications

(54 citation statements)

References 4 publications

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“…A successful vehicle detection and shape recognition algorithm will pave the way for vehicle recognition, vehicle tracking and safety improvements [5]- [8].…”

Section: Literature Reviewsmentioning

confidence: 99%

Increase Visibility for Motorcyclist Detection at Night for the Purpose of Avoiding Accidents Using a Simple RF Circuit

Basar¹,

Razik²

2013

IJBBB

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Abstract-This paper describes the effectiveness of Smart Motorcycle Safety Vest (SMS-V) for motorcyclist in Malaysia.The SMS-V is the reflex of light shirts and fitted with red and bright yellow LEDs which become the third light for brake and signals. Besides that, the SMS-V is employing the simple RF circuit which is not expensive. According to statistics of road accidents in Malaysia, accidents involving motorcyclists has a high number and it increases every year. As a result, many young people died and some have suffered permanent disabilities and this is a great loss to society and country. Therefore, there should be an alternative effort to ensure that this group is not a victim in the accident. Basically, the accident on the motorcycle is happened because most of motorcyclist are not concerned about safety where the mistakes that frequently happen is wearing dark colored clothing. According to the research experimental works, a motorcycle can only be known by the headlight and taillight of motorcycle at a distance of less than 180 meters. If a vehicle such as car and lorry at a speed of 90km/h faced with a motorcyclist, the vehicle only has 6 seconds to be alert to the presence of motorcyclists. Instead, this product able to assist road users about the presence of a motorcyclist at a distance of 500 meters, which is three times better than normal conditions. Based on motorcycle registration statistics released by the Malaysian Road Transport Department, as at January 2012, almost 10 million motorcycles were registered in Malaysia. If SMS-V is used only 50% of the number stated above, roughly, it will become a fashion and give a great impact to the motorcyclists as the product itself offers an interesting look. Hence, it is believed that this research is able to reduce the number of road accidents which often happen to motorcyclists in Malaysia Index Terms-Light emitting diode, motorcyclist, third light, safety vest, Malaysia.

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“…A successful vehicle detection and shape recognition algorithm will pave the way for vehicle recognition, vehicle tracking and safety improvements [5]- [8].…”

Section: Literature Reviewsmentioning

confidence: 99%

Increase Visibility for Motorcyclist Detection at Night for the Purpose of Avoiding Accidents Using a Simple RF Circuit

Basar¹,

Razik²

2013

IJBBB

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“…A color camera is mounted in the vehicle at the front-view mirror. It captures the images of the atmosphere in front of the vehicle including the path, and also vehicles on the path [6] [10] [11].…”

Section: Introductionmentioning

confidence: 99%

Modified Hough Transform for Road Lane Colorization to Prevent Accidents

Kaur¹

2015

IJRITCC

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Abstract:-Lane coloration is becoming popular in real time vehicular ad-hoc network. This research work focus on providing better performance in lane coloration algorithm by using CLAHE to enhance the input image and also by modifying the Hough transform using the dynamic thresholding to detect curve lanes. Main emphasis is to improve the result of lane coloration algorithm when fog, noise or any other factor is present in the images. The methods developed so far are working efficiently and giving good results in case when the straight lane road images are there. But problem is that they fail or not give efficient results when there are curved lane road images. The experiments results for the road images have shown the significant improvement of the proposed technique over the available one.

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“…Many approaches for automatic lane detection have been reported in the literature: (Assidiq 2008), (Fernando 2014), (Saha 2012), (Van Winden 2016) and (Wang 2006), to mention a few.…”

Section: Introductionmentioning

confidence: 99%

“…In (Assidiq 2008), for example, the authors solve lane detection by first acquiring a front view by a camera mounted on the vehicle. They then detect lanes by using a pair of hyperbolas which are fitting to the edges of the lane by means of so-called Hough transform.…”

Section: Introductionmentioning

confidence: 99%

Efficient Lane Detection Based on Artificial Neural Networks

Arce

Zamora

Hernández

et al. 2017

ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci.

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ABSTRACT:Lane detection is a problem that has attracted in the last years the attention of the computer vision community. Most of approaches used until now to face this problem combine conventional image processing, image analysis and pattern classification techniques. In this paper, we propose a methodology based on so-called Ellipsoidal Neural Networks with Dendritic Processing (ENNDPs) as a new approach to provide a solution to this important problem. The functioning and performance of the proposed methodology is validated with a real video taken by a camera mounted on a car circulating on urban highway of Mexico City.

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Real time lane detection for autonomous vehicles

Cited by 162 publications

References 4 publications

Increase Visibility for Motorcyclist Detection at Night for the Purpose of Avoiding Accidents Using a Simple RF Circuit

Increase Visibility for Motorcyclist Detection at Night for the Purpose of Avoiding Accidents Using a Simple RF Circuit

Modified Hough Transform for Road Lane Colorization to Prevent Accidents

Efficient Lane Detection Based on Artificial Neural Networks

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