Title :
Research of detecting Runway Debris based on the multi-sensors data fusion
Author :
Xiao-jing, Guo ; Xue-you, Yang ; Zhi-jing, Yu
Author_Institution :
Tian Jin Univ., Tianjin, China
Abstract :
Runway Debris is dangerous to the aircraft safety. Based on the multi-sensors data fusion theory, the authors construct the data fusion model by analysis data from millimeter wave radar and CCD to identify and estimate the safety of object. Besides that, the least square method can be applied to obtain the data fusion result. So it can help people to classify and clear the dangerous object. It testifies the application possibility of the data fusion theory on the runway debris detection and supplies the theory base to build the runway detecting system.
Keywords :
aerospace safety; aircraft; aircraft instrumentation; airports; least squares approximations; radar; sensor fusion; CCD; aircraft safety; least square method; millimeter wave radar; multisensors data fusion; runway debris detection; Analytical models; Charge coupled devices; Data models; Estimation; Radar; Sensor fusion; CCD; Data Fusion; Runway Debris; least square method; radar;
Conference_Titel :
Control and Decision Conference (CCDC), 2011 Chinese
Conference_Location :
Mianyang
Print_ISBN :
978-1-4244-8737-0
DOI :
10.1109/CCDC.2011.5968344