Automated Driving Vehicle Using Image Processing
A. Jain1 , H. Reddy2 , S. Dubey3
Section:Review Paper, Product Type: Journal Paper
Volume-2 ,
Issue-4 , Page no. 138-140, Apr-2014
Online published on Apr 30, 2014
Copyright © A. Jain, H. Reddy, S. Dubey . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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How to Cite this Paper
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IEEE Style Citation: A. Jain, H. Reddy, S. Dubey, “Automated Driving Vehicle Using Image Processing,” International Journal of Computer Sciences and Engineering, Vol.2, Issue.4, pp.138-140, 2014.
MLA Style Citation: A. Jain, H. Reddy, S. Dubey "Automated Driving Vehicle Using Image Processing." International Journal of Computer Sciences and Engineering 2.4 (2014): 138-140.
APA Style Citation: A. Jain, H. Reddy, S. Dubey, (2014). Automated Driving Vehicle Using Image Processing. International Journal of Computer Sciences and Engineering, 2(4), 138-140.
BibTex Style Citation:
@article{Jain_2014,
author = {A. Jain, H. Reddy, S. Dubey},
title = {Automated Driving Vehicle Using Image Processing},
journal = {International Journal of Computer Sciences and Engineering},
issue_date = {4 2014},
volume = {2},
Issue = {4},
month = {4},
year = {2014},
issn = {2347-2693},
pages = {138-140},
url = {https://www.ijcseonline.org/full_paper_view.php?paper_id=124},
publisher = {IJCSE, Indore, INDIA},
}
RIS Style Citation:
TY - JOUR
UR - https://www.ijcseonline.org/full_paper_view.php?paper_id=124
TI - Automated Driving Vehicle Using Image Processing
T2 - International Journal of Computer Sciences and Engineering
AU - A. Jain, H. Reddy, S. Dubey
PY - 2014
DA - 2014/04/30
PB - IJCSE, Indore, INDIA
SP - 138-140
IS - 4
VL - 2
SN - 2347-2693
ER -
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Abstract
This paper focuses on control and automation of intelligent road symbol detection system for vehicles in normal environment conditions. The objective is to look for matching information or some data in the input images that are taken by the overhead mounted camera. The whole setup then filters the noise and other requirements to obtain a steady flow of information for the vehicle to be guided automatically. Here we have used MATLAB for image processing and a microcontroller interfaced with it for actual real time processing and actuation of commands. The functions attributed in the whole setup are direction control mechanism, UART Communication and MATLAB. The results obtained are shown along with neatly explained algorithm and flowchart.
Key-Words / Index Term
Autonomous, Signal Processing, Image Processing, Computer Vision ,Data Structures, MATLAB
References
[1]. LalehMakarem, Denis GilletInformation sharing among autonomous vehicles crossing an Intersection, IEEE International Conference on Systems, Man, and Cybernetics, October 14-17, 2012.
[2]. S. Yuan, H. Lau, D.K. Liu, S.D. Huang, G. Dissanayake, D. Pagac, T. Pratley, Simultaneous Dynamic Scheduling and Collision-Free Path Planning for Multiple Autonomous Vehicles, IEEEInternational Conference on Information and Automation June 22 -25, 2009.
[3]. Maurizio Porfiri, D. Gray Roberson, Daniel J. Stilwell,Environmental Tracking and Formation Controlof a Platoon of Autonomous VehiclesSubject to Limited Communication,IEEE International Conference on Robotics and AutomationOrlando, Florida - May, 2006.
[4]. Alessandro Gasparetto, RenatoVidoni, Daniele Pillan, EnnioSaccavini,Automatic Path and Trajectory Planning forRobotic Spray Painting
[5]. Wen He, Xiaodong Wang, Guisheng Chen, Mu Guo, Tianlei Zhang, Peng Han, RuijianZhang,Monocular based Lane-Change on Scaled-down Autonomous Vehicles, IEEE Intelligent Vehicles Symposium (IV) Baden-Baden, Germany, June 5-9, 2011.
[6]. Jaehyoung Yu, Youngjoon Han, HernsooHahn, An Efficient Extraction of On-Road Object and Lane InformationUsing Representation Method, IEEE International Conference on Signal Image Technology and Internet Based Systems, 2011.
[7]. E. Chou, Y. Sun, E.Salari, Automated Pavement Distress Detection Using Advanced Image Processing Techniques,IEEE Proceedings 2009.
[8]. Awais Adnan, SaleemGul, Muhammad Ali, Amir Hanif Dar, Content Based image Retrieval UsingGeometrical-Shape ofObjects in Image, IEEE 2007.