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A novel system for Advanced Driver Assistance Systems

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2 Author(s)
Sarshar, M. ; Comput. Eng. Dept., Azad Univ., Karaj, Iran ; Rezaei, M.

The complexity of the driving task and uncertainty of the driving environment make driving as a very dangerous task. Various investigations show that speeding and lane departure are two main causes of road accidents. These would be more challenging in curvy roads. The paper describes a multi sensor systematic framework to solve the mentioned problem and a novel deployment for a network of multi-sensors is introduced. Some of implemented sensors are curve sensors, distance sensor, vision sensor and weather sensors as well as an indoor camera to control awareness of driver. To perform this work, we are using the Matlab fuzzy logic toolkit, which is a simple and flexible tool to design fuzzy inference systems.

Published in:

Systems Conference, 2010 4th Annual IEEE

Date of Conference:

5-8 April 2010

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