INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH International Peer Reviewed & Refereed Journals, Open Access Journal ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15
A relaible lane detection and tracking for automated driverless cars
Authors Name:
Gowrijayasree.L
, Dr.N.Shanmugasundaram
Unique Id:
IJSDR2009020
Published In:
Volume 5 Issue 9, September-2020
Abstract:
This paper presents Lane detection and a Lane tracking system using Hough Transform and a Kalman filtering method. Primarily the image horizon is recorded from traffic congestion. The image is pre-processed to remove noise. A 2-Dimensional FIR filtering is made to detect the edges from the given input. Hough transform is used to find the lane markings or lane boundaries from the filter output. Thresholding is done to get the available Hough peak which forms the actual lane detection. The detected peaks are continuously tracked in consecutive video frames and given to Kalman filter which smoothens the output of lane tracking system. Additionally lane warning feature is added with lane tracking system.
Keywords:
Lane Detection, Lane Tracking, Kalman filter.
Cite Article:
"A relaible lane detection and tracking for automated driverless cars", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 9, page no.135 - 139, September-2020, Available :http://www.ijsdr.org/papers/IJSDR2009020.pdf
Downloads:
000337214
Publication Details:
Published Paper ID: IJSDR2009020
Registration ID:192430
Published In: Volume 5 Issue 9, September-2020
DOI (Digital Object Identifier):
Page No: 135 - 139
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631
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