Nighttime Vehicle Detection Using Computer Vision

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

Research output: Chapter in Book/Report/Conference proceedingChapter

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 languageEnglish
Title of host publicationLecture Notes in Networks and Systems
PublisherSpringer Paris
Pages167-171
Number of pages5
DOIs
Publication statusPublished - 01-01-2019
Externally publishedYes

Publication series

NameLecture Notes in Networks and Systems
Volume33
ISSN (Print)2367-3370
ISSN (Electronic)2367-3389

Fingerprint

Computer vision
MATLAB
Accidents
Visibility
Image processing
Lighting
Cameras
Switches

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Signal Processing
  • Computer Networks and Communications

Cite this

Badri, S., Somu, S. S., Vamsi Meghana, K., & Aparna, V. (2019). Nighttime Vehicle Detection Using Computer Vision. In Lecture Notes in Networks and Systems (pp. 167-171). (Lecture Notes in Networks and Systems; Vol. 33). Springer Paris. https://doi.org/10.1007/978-981-10-8204-7_17
Badri, Sushruth ; Somu, Sri Soumya ; Vamsi Meghana, K. ; Aparna, V. / Nighttime Vehicle Detection Using Computer Vision. Lecture Notes in Networks and Systems. Springer Paris, 2019. pp. 167-171 (Lecture Notes in Networks and Systems).
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Badri, S, Somu, SS, Vamsi Meghana, K & Aparna, V 2019, Nighttime Vehicle Detection Using Computer Vision. in Lecture Notes in Networks and Systems. Lecture Notes in Networks and Systems, vol. 33, Springer Paris, pp. 167-171. https://doi.org/10.1007/978-981-10-8204-7_17

Nighttime Vehicle Detection Using Computer Vision. / Badri, Sushruth; Somu, Sri Soumya; Vamsi Meghana, K.; Aparna, V.

Lecture Notes in Networks and Systems. Springer Paris, 2019. p. 167-171 (Lecture Notes in Networks and Systems; Vol. 33).

Research output: Chapter in Book/Report/Conference proceedingChapter

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AU - Somu, Sri Soumya

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Badri S, Somu SS, Vamsi Meghana K, Aparna V. Nighttime Vehicle Detection Using Computer Vision. In Lecture Notes in Networks and Systems. Springer Paris. 2019. p. 167-171. (Lecture Notes in Networks and Systems). https://doi.org/10.1007/978-981-10-8204-7_17