A lightweight vehicle detection and tracking technique for advanced driving assistance systems
Author:
Affiliation:
1. College of Engineering and Technology, American University of the Middle East, Kuwait
2. Department Electrical Engineering, Cairo University, Egypt
Abstract
Publisher
IOS Press
Subject
Artificial Intelligence,General Engineering,Statistics and Probability
Reference21 articles.
1. Traffic signs classification by deep learning for advanced driving assistance systems;Farag;Intelligent Decision Technologies, IOS Press,2019
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3. Mansour K. and Farag W. , AiroDiag: A Sophisticated Tool that Diagnoses and Updates Vehicles Software Over Air, 2012 IEEE Intern. Electric Vehicle Conference (IEVC), TD Convention Center Greenville, SC, USA, March 4, 2012, ISBN: 978-1-4673-1562-3.
4. Farag W. , CANTrack: Enhancing automotive CAN bus security using intuitive encryption algorithms, 7th Inter Conf on Modeling, Simulation, and Applied Optimization (ICMSAO), UAE, March 2017.
5. A Comprehensive Real-Time Road-Lanes Tracking Technique for Autonomous Driving;Farag;International Journal of Computing and Digital Systems (IJCDS),2020
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