Traffic signs classification by deep learning for advanced driving assistance systems

Author:

Farag Wael12

Affiliation:

1. College of Engineering and Technology, American University of the Middle East, Kuwait

2. Electrical Engineering Department, Cairo University, Egypt

Publisher

IOS Press

Subject

Artificial Intelligence,Computer Vision and Pattern Recognition,Human-Computer Interaction,Software

Reference29 articles.

1. Road lane-lines detection in real-time for advanced driving assistance systems;Farag;Intern. Conf. on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT’18),2018

2. Mansour K, Farag W. AiroDiag: A sophisticated tool that diagnoses and updates vehicles software over air. IEEE Intern. Electric Vehicle Conference (IEVC), TD Convention Center Greenville, SC. USA. March 4, 2012; ISBN: 978-1-4673-1562-3.

3. Behavior cloning for autonomous driving using convolutional neural networks;Farag;Intern. Conf. on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT’18),2018

4. Tuning of PID track followers for autonomous driving;Farag;Intern. Conf. on Innovation and Intelligence for Informatics, Computing, and Technologies (3ICT’18),2018

5. 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.

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