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Night-time Vehicle Detection for Automatic Headlight Beam Control

International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2017
Pushkar Sevekar, S. B. Dhonde

Pushkar Sevekar and S B Dhonde. Night-time Vehicle Detection for Automatic Headlight Beam Control. International Journal of Computer Applications 157(7):8-12, January 2017. BibTeX

	author = {Pushkar Sevekar and S. B. Dhonde},
	title = {Night-time Vehicle Detection for Automatic Headlight Beam Control},
	journal = {International Journal of Computer Applications},
	issue_date = {January 2017},
	volume = {157},
	number = {7},
	month = {Jan},
	year = {2017},
	issn = {0975-8887},
	pages = {8-12},
	numpages = {5},
	url = {},
	doi = {10.5120/ijca2017912737},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}


A clear visibility of the road ahead is significant concern for safe nighttime driving. However, high beams are utilized less than sufficient on the roads since drivers are afraid of dazzling others. Subsequently, the smart programmed control of vehicles front lamp is of incredible significance.

According to road accident surveys, majority of the accidents occur in dark. Visibility in dark is significant issue for safe driving. Therefore careless drivers continue using a high beam even though approaching vehicle is observed. These high beams create glare for approaching drivers which then causes temporary blindness. To solve this problem, nighttime vehicle detection has a great importance. This paper reviews various attempts made to solve the problem, need of study, currently implemented relevant systems and related work, different approaches to solve problem and various applications. The survey shows sensor based approaches cannot be used to satisfy real time requirements of a system. However, a simple and reliable solution needs to be developed so that, it can be implemented in each vehicle. An attempt has been made to present an image processing based system that detects vehicles and selects ideal beam so that accidents due to temporary blindness can be reduced.


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Headlight control, Nighttime vehicle detection, beam control, Light blob detection, Low beam, High beam.