Night Time Vehicle Detection Using Computer Vision

Badri, Sushruth and Somu, Sri Soumya and Meghana, Vamsi K and Aparna, V (2017) Night Time Vehicle Detection Using Computer Vision. In: International Conference on Innovations in Electronics and Communication Engineering, 21/07/2017, Guru Nanak Institute Of Technology,Hyderabad.

[img] PDF
838.pdf - Published Version
Restricted to Registered users only

Download (667kB) | Request a copy


Many accidents occur during the night due to improper visibility of the road ahead. One of the main reason 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.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Segmentation, Tracking, Blob Analysis, Headlight detection, Computer Vision.
Subjects: Engineering > MIT Manipal > Electronics and Communication
Depositing User: MIT Library
Date Deposited: 06 Oct 2017 08:41
Last Modified: 06 Oct 2017 08:41

Actions (login required)

View Item View Item