Title :
Applying Embedded Hybrid ANFIS/Quantum-Tuned BPNN Prediction to Collision Warning System for Motor Vehicle Safety
Author :
Chang, Bao Rong ; Young, Chung-Ping ; Tsai, Hsiu Fen ; Lin, Jian-Jr
Author_Institution :
Dept. of Comput. Sci. & Inf. Eng., Nat. Taitung Univ.
Abstract :
This study is to explore how to realize high-performance collision warning system (CWS), providing the precaution against traffic crash in transit. An embedded hybrid adaptive network-based fuzzy inference system (ANFIS) plus quantum-tuned back-propagation neural network (QT-BPNN) built in the platform with DaVinci+XScale-NAV270 was employed to realize collision warning system and we also installed motor vehicle event data recorder (MVEDR). Finally, experiments and verification of the proposed approach were done successfully to achieve better accuracy and more effectiveness on warning level issuing and event data record to motor vehicle.
Keywords :
backpropagation; inference mechanisms; neural nets; road safety; traffic engineering computing; collision warning system; embedded hybrid ANFIS; embedded hybrid adaptive network-based fuzzy inference system; motor vehicle safety; quantum-tuned BPNN prediction; quantum-tuned backpropagation neural network; Adaptive systems; Alarm systems; Fuzzy neural networks; Fuzzy systems; Neural networks; Road accidents; Telecommunication traffic; Vehicle crash testing; Vehicle safety; Vehicles; Davinci+XScale-NAV270; adaptive network-based fuzzy inference system; collision warning system; motor vehicle event data recorder; quantum-tuned back-propagation neural network;
Conference_Titel :
Intelligent Systems Design and Applications, 2008. ISDA '08. Eighth International Conference on
Conference_Location :
Kaohsiung
Print_ISBN :
978-0-7695-3382-7
DOI :
10.1109/ISDA.2008.271
