Development of Vision based Control Smart Windwhield Wiper System for Intelligent Vehicle

Park, Jee-hun; Kim, Man-ho; Im, Hong-jun; Lee, Kyung-Chang; Lee, Suk

doi:10.1109/sice.2006.314662

Cited by 9 publications

(2 citation statements)

References 11 publications

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“…This method shows really good results but only when detection area is restraint to sky which is very constraining for a vehicle application. Conversely, [8] uses image processing to detect edges through segmentation of the Sobel mask whilst [9] proposal is to use a special optical device (camera + near infrared light) to obtain a clear and precise image of raindrops on the windscreen.…”

Section: State Of Artmentioning

confidence: 99%

“…So far, methods which have been developed for ITS in the past years [7][8][9] seem to work quite well but they do require either a special optical device [9] or the focus to be set on the windscreen [7], [8]. However, ITS already have many applications using camera sensor (such as road lanes detection or obstacles detection) and both for the sake of their performance as well as for industrial constraints, the camera is usually installed behind the interior rear-view mirror.…”

Section: State Of Artmentioning

confidence: 99%

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Detection of unfocused raindrops on a windscreen using low level image processing

Nashashibi

Charrette

Alexandre

2010

2010 11th International Conference on Control Automation Robotics &Amp; Vision

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Abstract-In a scene, rain produces a complex set of visual effects. Obviously, such effects may infer failures in outdoor vision-based systems which could have important side-effects in terms of security applications. For the sake of these applications, rain detection would be useful to adjust their reliability. In this paper, we introduce the problem (almost unprecedented) of unfocused raindrops. Then, we present a first approach to detect these unfocused raindrops on a transparent screen using a spatio-temporal approach to achieve detection in real-time.We successfully tested our algorithm for Intelligent Transport System (ITS) using an on-board camera and thus, detected the raindrops on the windscreen. Our algorithm differs from the others in that we do not need the focus to be set on the windscreen. Therefore, it means that our algorithm may run on the same camera sensor as the other vision-based algorithms.

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Section: State Of Artmentioning

confidence: 99%

Section: State Of Artmentioning

confidence: 99%

Detection of unfocused raindrops on a windscreen using low level image processing

Nashashibi

Charrette

Alexandre

2010

2010 11th International Conference on Control Automation Robotics &Amp; Vision

View full text Add to dashboard Cite

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A systematic review of factors, data sources, and prediction techniques for earlier prediction of traffic collision using AI and machine Learning

Niture,

Abdellatif

2024

Multimed Tools Appl

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The prevalence of road traffic collisions is a pressing issue both worldwide and within the United States. The consequences of these incidents are severe, resulting in loss of life, reduced productivity, and other socio-economic implications that demand immediate attention. To effectively address this problem, conducting an extensive literature review is crucial to identify the various causes of traffic collisions and the complex interdependencies between them. Addressing this challenge necessitates a targeted exploration of its multifaceted causes and their interrelations through an extensive literature review, incorporating the latest advancements in machine learning and deep learning techniques. However, the lack of a consensus on datasets and prediction techniques hinders the development of accurate, location-specific traffic collision predictions. By meticulously analyzing traffic collision factors and data sources and leveraging state-of-the-art ML and DL approaches, this paper endeavors to forge a pathway toward developing precise, location-adapted predictions for traffic collisions, thereby contributing significantly to the discourse on long-term preventative strategies.

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Practical multi-objective controller for preventing noise and vibration in an automobile wiper system

Zolfagharian

Noshadi

Zain

et al. 2013

Swarm and Evolutionary Computation

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Development of Vision based Control Smart Windwhield Wiper System for Intelligent Vehicle

Cited by 9 publications

References 11 publications

Detection of unfocused raindrops on a windscreen using low level image processing

Detection of unfocused raindrops on a windscreen using low level image processing

A systematic review of factors, data sources, and prediction techniques for earlier prediction of traffic collision using AI and machine Learning

Practical multi-objective controller for preventing noise and vibration in an automobile wiper system

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