A relaible lane detection and tracking for automated driverless cars
Gowrijayasree.L
, Dr.N.Shanmugasundaram
Lane Detection, Lane Tracking, Kalman filter.
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.
"A relaible lane detection and tracking for automated driverless cars", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 9, page no.135 - 139, September-2020, Available :https://ijsdr.org/papers/IJSDR2009020.pdf
Volume 5
Issue 9,
September-2020
Pages : 135 - 139
Paper Reg. ID: IJSDR_192430
Published Paper Id: IJSDR2009020
Downloads: 000347189
Research Area: Engineering
Country: Udumalpet, Tamil Nadu, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
