Title :
A novel system for Advanced Driver Assistance Systems
Author :
Sarshar, Mohammadreza ; Rezaei, Mahdi
Author_Institution :
Comput. Eng. Dept., Azad Univ., Karaj, Iran
Abstract :
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.
Keywords :
driver information systems; fuzzy logic; fuzzy reasoning; fuzzy systems; sensor fusion; Matlab fuzzy logic toolkit; advanced driver assistance systems; curve sensors; distance sensor; fuzzy inference systems; indoor camera; lane departure; multisensor systematic framework; road accidents; vision sensor; weather sensors; Advanced Driver Assistance Systems; Driver Monitoring; Fuzzy Data Fusion; Sensor Network;
Conference_Titel :
Systems Conference, 2010 4th Annual IEEE
Conference_Location :
San Diego, CA
Print_ISBN :
978-1-4244-5882-0
DOI :
10.1109/SYSTEMS.2010.5482319