TY - GEN
T1 - A soft computing approach for collision risk assessments
AU - Park, Seongkeun
AU - Kim, Beomsung
AU - Choi, Baehoon
AU - Kim, Eunati
AU - Lee, Heejin
AU - Kang, Hyung Jin
PY - 2011
Y1 - 2011
N2 - In this paper, we propose a collision risk assessment system using soft computing method. By using Monte Carlo Method, we make some samples for collision risk, and we recover collision risk of whole area using neural network. Multi-layer perceptron neural network will be applied to proposed algorithm. And fuzzy system will decide the final collision risk by considering not only collision risk but also time for collision. Simulation results will show the validity of our proposed method.
AB - In this paper, we propose a collision risk assessment system using soft computing method. By using Monte Carlo Method, we make some samples for collision risk, and we recover collision risk of whole area using neural network. Multi-layer perceptron neural network will be applied to proposed algorithm. And fuzzy system will decide the final collision risk by considering not only collision risk but also time for collision. Simulation results will show the validity of our proposed method.
UR - http://www.scopus.com/inward/record.url?scp=84863057266&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84863057266&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84863057266
SN - 9781457708350
T3 - International Conference on Control, Automation and Systems
SP - 1908
EP - 1910
BT - ICCAS 2011 - 2011 11th International Conference on Control, Automation and Systems
T2 - 2011 11th International Conference on Control, Automation and Systems, ICCAS 2011
Y2 - 26 October 2011 through 29 October 2011
ER -