Query Based Image Processing in the VANET

Toth, Stefan; Janech, Jan; Kršák, Emil

doi:10.1109/cicsyn.2013.56

Cited by 4 publications

(2 citation statements)

References 9 publications

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“…A vehicle equipped with a camera captures the image that helps in tracking the person. Such type of application provides safety to mankind [54].…”

Section: Association Between Fog Node and Vehiclesmentioning

confidence: 99%

Review of Authentication Communication Protocols in Mobile(Vehicular) Network via FOG Computing

GHALYAN,

Kait,

Ranga

2024

Preprint

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— As there is a substantial increase in the automation industry, Security is the major concern among the vehicles. Software and hardware are combined to provide better drivability and comfort in vehicles. Information such as safety and nonsafety are interchanged among the vehicles through messages in an intelligent transport system. VANET an intelligent transportation system plays a vital role in enhancing the security and safety of passengers as well as drivers by equipping the vehicle with RSU (Road Side Unit) and OBU (On-Board Unit). Production of an extensive amount of data in VANET communication needs an intelligent storage system. For this Fog Computing has a vital role in the storage and computation of data. In this paper, we present a study on various authentication attacks, authentication protocols and their mechanism. Open issues, Future scope of VANET using Fog, Survey on authentication protocols in VANET using fog computing are discussed. Taxonomy of authentication attacks with their summary and insights are presented.

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“…A vehicle equipped with a camera captures the image that helps in tracking the person. Such type of application provides safety to mankind [54].…”

Section: Association Between Fog Node and Vehiclesmentioning

confidence: 99%

Review of Authentication Communication Protocols in Mobile(Vehicular) Network via FOG Computing

GHALYAN,

Kait,

Ranga

2024

Preprint

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“…If the object is large sized then it won't work for given assumptions. Toth et al [13] gives idea on image processing (query based) in VANET. Using request or specific query the object which was required will be detected automatically from the image.…”

Section: Related Workmentioning

confidence: 99%

An Obstacle Detection Scheme for Vehicles in an Intelligent Transportation System

Shah¹,

Maru²,

Jhaveri³

2016

IJCNIS

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Abstract-Road obstacles cause serious accidents that have a severe impact on driver safety, traffic flow efficiency and damage of the vehicle. Detecting obstacles are important to prevent or to reduce such kind of the accidents and fatalities. However, it is difficult and becomes tricky because of some problems like presence of shadow, environmental changes or a sudden action of any moving things (e.g., car overtaking, animal coming) and many more. Thereby, this paper aims to design an obstacle detection technique based on (i) moving cameras and (ii) moving objects. These methods are applied to obstacle detection phase, in order to identify the different obstacles (e.g., potholes, animals, stop sign, obstacles, bumps, road cracks) by considering road dimensions. A new technique is introduced for detecting obstacles from moving camera and moving objects which overcomes several limitations over stationary cameras and moving/stationary objects. Further, paper reviews recent research trends to detect obstacles for moving cameras and moving objects with discussion of key points and limitations of each approach. Finally, the results show that the proposed method is more robust and reliable than the previous approaches based on the stationary cameras.

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