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Sensors based vehicle crowed sensing in bad weather conditions


Article Information

Title: Sensors based vehicle crowed sensing in bad weather conditions

Authors: Nauman Yousaf, Abdul Mateen, Saeedullah, Abdul Hanan, Robina Adnan

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2021

Volume: 16

Issue: 9

Language: English

Categories

Abstract

Bad weather and road traffic accidents are the main causes of vehicle losses and deaths. The degree of severity may be influenced by a number of factors. Various methods and techniques were tested with different distances, conditions and speed, to recognize the reaction of drivers in changing visibility in fog. On the basis of various types of fog generated on artificial and camera images, new algorithms have been proposed in recent studies for visibility improvement techniques. The core thing should be the development of operational fog detection and alarming system, with respect to speed and headway. Although the Advanced camera based driving assistance systems have the functionality in relieving the driver but they have drawbacks in terms of image quality, computation, working at night and with bad weather conditions. The proposed research contributes by analyzing existing work, detecting bad weather by measuring visibility distance, detecting moving or stationary vehicle on road in fog and providing alert to drivers in danger distance between vehicles and other objects using sensors.


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