TY - GEN
T1 - Multiple objects recognition system for intelligent vehicle system using 24GHz radar
AU - Choi, Baehoon
AU - Lee, Heesung
AU - Kim, Euntai
PY - 2011
Y1 - 2011
N2 - In the active safety system, the object classification is important to decide the action for passenger's safety. Using microwave radar as a sensor, we can get the measure about the distance from the sensor, the azimuth angle, and also the signal power of the reflected signal. In this paper, we use these information from 24GHz microwave radar sensor and classify the objects for the active safety system. The K-nearest neighbor, multilayer perceptron, support vector machine and reduced multivariate polynomial model are employed for verification. This paper includes some experiment results for classification among human, vehicle and bicycle.
AB - In the active safety system, the object classification is important to decide the action for passenger's safety. Using microwave radar as a sensor, we can get the measure about the distance from the sensor, the azimuth angle, and also the signal power of the reflected signal. In this paper, we use these information from 24GHz microwave radar sensor and classify the objects for the active safety system. The K-nearest neighbor, multilayer perceptron, support vector machine and reduced multivariate polynomial model are employed for verification. This paper includes some experiment results for classification among human, vehicle and bicycle.
UR - http://www.scopus.com/inward/record.url?scp=84863014253&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84863014253&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84863014253
SN - 9781457708350
T3 - International Conference on Control, Automation and Systems
SP - 1911
EP - 1914
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 -