Nighttime Vehicle Detection Using Computer Vision

Sushruth Badri; Sri Soumya Somu; K. Vamsi Meghana; V. Aparna

doi:10.1007/978-981-10-8204-7_17

Nighttime Vehicle Detection Using Computer Vision

Sushruth Badri, Sri Soumya Somu, K. Vamsi Meghana, V. Aparna^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Chapter

1 Citation (Scopus)

Abstract

Many accidents occur during the night due to the improper visibility of the road ahead. One of the main reasons is of the discomfort posed by the high beam light of the oncoming vehicle, glares our eyes while driving. This discomfort might result in a lapse of concentration thereby resulting in an accident. Our primary aim is to automatically detect the head light using tracking and segmenting the frames extracted from the video signals that are fed by a camera and automatically switch the lighting condition of our vehicle from low beam to high beam or vice versa to avoid discomfort to the driver of the oncoming vehicle. We use MATLAB to simulate the results of our algorithm. In MATLAB, we mainly use computer vision and image processing to make necessary alterations to the input to get the necessary output.

Original language	English
Title of host publication	Lecture Notes in Networks and Systems
Publisher	Springer Paris
Pages	167-171
Number of pages	5
DOIs	https://doi.org/10.1007/978-981-10-8204-7_17
Publication status	Published - 01-01-2019
Externally published	Yes

Publication series

Name	Lecture Notes in Networks and Systems
Volume	33
ISSN (Print)	2367-3370
ISSN (Electronic)	2367-3389

All Science Journal Classification (ASJC) codes

Control and Systems Engineering
Signal Processing
Computer Networks and Communications

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10.1007/978-981-10-8204-7_17

Cite this

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title = "Nighttime Vehicle Detection Using Computer Vision",

abstract = "Many accidents occur during the night due to the improper visibility of the road ahead. One of the main reasons is of the discomfort posed by the high beam light of the oncoming vehicle, glares our eyes while driving. This discomfort might result in a lapse of concentration thereby resulting in an accident. Our primary aim is to automatically detect the head light using tracking and segmenting the frames extracted from the video signals that are fed by a camera and automatically switch the lighting condition of our vehicle from low beam to high beam or vice versa to avoid discomfort to the driver of the oncoming vehicle. We use MATLAB to simulate the results of our algorithm. In MATLAB, we mainly use computer vision and image processing to make necessary alterations to the input to get the necessary output.",

author = "Sushruth Badri and Somu, {Sri Soumya} and {Vamsi Meghana}, K. and V. Aparna",

note = "Publisher Copyright: {\textcopyright} 2019, Springer Nature Singapore Pte Ltd.",

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AU - Badri, Sushruth

AU - Somu, Sri Soumya

AU - Vamsi Meghana, K.

AU - Aparna, V.

PY - 2019/1/1

Y1 - 2019/1/1

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AB - Many accidents occur during the night due to the improper visibility of the road ahead. One of the main reasons is of the discomfort posed by the high beam light of the oncoming vehicle, glares our eyes while driving. This discomfort might result in a lapse of concentration thereby resulting in an accident. Our primary aim is to automatically detect the head light using tracking and segmenting the frames extracted from the video signals that are fed by a camera and automatically switch the lighting condition of our vehicle from low beam to high beam or vice versa to avoid discomfort to the driver of the oncoming vehicle. We use MATLAB to simulate the results of our algorithm. In MATLAB, we mainly use computer vision and image processing to make necessary alterations to the input to get the necessary output.

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Nighttime Vehicle Detection Using Computer Vision

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