TY - GEN
T1 - Applying embedded hybrid ANFIS/quantum-tuned BPNN prediction to collision warning system for motor vehicle safety
AU - Chang, Bao Rong
AU - Young, Chung Ping
AU - Tsai, Hsiu Fen
AU - Lin, Jian Jr
PY - 2008
Y1 - 2008
N2 - This study is to explore how to realize highperformance 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 successfully done to achieve better accuracy and more effectiveness on warning level and event data record to motor vehicle.
AB - This study is to explore how to realize highperformance 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 successfully done to achieve better accuracy and more effectiveness on warning level and event data record to motor vehicle.
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U2 - 10.1109/ISDA.2008.271
DO - 10.1109/ISDA.2008.271
M3 - Conference contribution
AN - SCOPUS:67449119459
SN - 9780769533827
T3 - Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008
SP - 3
EP - 8
BT - Proceedings - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008
T2 - 8th International Conference on Intelligent Systems Design and Applications, ISDA 2008
Y2 - 26 November 2008 through 28 November 2008
ER -