Title :
Intelligent surround sensing using fuzzy inference system
Author :
Chan Yet, Wong. ; Qidwai, Uvais
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Tulane Univ., New Orleans, LA
fDate :
Oct. 30 2005-Nov. 3 2005
Abstract :
In this paper, an intelligent surround sensing using fuzzy inference system (ISSFIS) that helps to prevent accidents caused by errant lane changes due to blind spots and carelessness of drivers is presented. Sensors such as ultrasonic sensor, steering angle sensor, yaw-rate sensor, and actuators are used in assisting this system to perform autonomous maneuvering to prevent collision
Keywords :
accident prevention; collision avoidance; fuzzy reasoning; intelligent sensors; accident prevention; autonomous maneuvering; collision avoidance; fuzzy inference system; intelligent surround sensor; Acceleration; Fuzzy systems; Humans; Intelligent sensors; Remotely operated vehicles; Road accidents; Sensor systems; Ultrasonic variables measurement; Vehicle detection; Vehicle safety;
Conference_Titel :
Sensors, 2005 IEEE
Conference_Location :
Irvine, CA
Print_ISBN :
0-7803-9056-3
DOI :
10.1109/ICSENS.2005.1597879
