Title :
Automated car braking system: Using neural network system via Labview environment
Author :
Abu, Mohd Azlan ; Kornain, Z. ; Iqbal, I.M. ; Rosli, M.H.
Author_Institution :
British Malaysian Inst., Univ. Kuala Lumpur, Kuala Lumpur, Malaysia
Abstract :
This paper represents the development of a car braking system based on artificial neural network for use during parking. This project involves replacing the usual car reverse warning system with a system that will react automatically based on the distance between the car and a given obstacle by gradually increasing the braking pressure until such a point that is deemed the closest safe distance to the obstacle, in which the braking pressure will then be increased to max and the car will halt. To realize this application, this project will make use of LabView simulation software to create the artificial neural network engine and present the simulation results.
Keywords :
braking; neural nets; traffic engineering computing; virtual instrumentation; LabView simulation software; Labview environment; artificial neural network engine system; automated car braking system; braking pressure; closest safe distance; parking; Artificial neural networks; Fuzzy logic; Pragmatics; Simulation; Training; Vehicles; LabView; auto-braking; neural network; reverse and side parking;
Conference_Titel :
Open Systems (ICOS), 2012 IEEE Conference on
Conference_Location :
Kuala Lumpur
Print_ISBN :
978-1-4673-1044-4
DOI :
10.1109/ICOS.2012.6417650