Title :
Study of an Auto-testing Method for Data Fusion Evaluation System
Author :
Qiu Hairong ; Zhu Xia ; Yu Yongsheng
Author_Institution :
Sci. & Technol. on Inf. Syst. Eng. Lab., Nanjing, China
Abstract :
Considering the important role of data fusion evaluation system in testing, we propose a systematic auto-testing method to validate its function and performance. We also present some practical examples to illustrate the operation principle of the method. Based on abundant auto-testing, the experimental results show that the data fusion evaluation system can acquire a higher detecting precision and a superior validity when evaluating the target data fusion systems with our method.
Keywords :
automatic testing; sensor fusion; abundant auto-testing; data fusion evaluation system; detecting precision; superior validity; systematic auto-testing method; Control charts; Measurement errors; Process control; Radar detection; Statistical analysis; Testing; In-Situ auto-testing; dynamic measurement error; dynamic testing;
Conference_Titel :
Intelligent System Design and Engineering Application (ISDEA), 2012 Second International Conference on
Conference_Location :
Sanya, Hainan
Print_ISBN :
978-1-4577-2120-5
DOI :
10.1109/ISdea.2012.578
