Multi-sensor management for information fusion: issues and approaches. Information fusion, 3(2), 163-186,2002 Mitchell, H. B. Multi-sensor data fusion: an introduction. Springer Science & Business Media, 2007 D
The fusion method develops an incremental conflict resolution method within the Dempster–Shafer (D–S) theory framework. This method has distinct advantages over the proportional conflict resolution technique of D–S theory. The key contribution of this paper lies in introduction of temporal ...
An Introduction to Level 5 Fusion: The Role of the User E. Blasch Perspectives on the Human Side of Data Fusion: Prospects for Improved Effectiveness using Advanced Human-Computer Interfaces D. L. Hall, C. M. Hall, and S. A. H. McMullen Requirements Derivation for Data Fusion Systems E....
‘I Introduction Multisensor data fusion has been an area of intense recent research and development activity’. This concept has been applied to numerous fields and new applications are being explored constantly. Even though most multisensor data fusion applications have been developed relatively ...
Introduction In recent years, there has been an increasing interest in multisensor data fusion for both military and civilian applications. Multisensor data fusion is the process by which data from multiple/diverse sensors, sensing multiple objects, is combined to yield improved accuracy and more inf...
surface quality control; multi-sensor data fusion; cutting forces; vibration; acoustic emission; signal feature extraction methods; predictive modeling techniques1. Introduction Current quality control techniques require slow and costly measurement procedures for inspecting finished products. In industrially ...
Multisensor data fusion is a key enabling technology in which information from a number of sources is integrated to form a unified picture [1]. This concept has been applied to numerous fields and new applications are being explored constantly. Even thou
tion, random weighting estimation, weighted fusion. I. INTRODUCTION M ULTISENSOR data fusion is defined as the use of techniques that combine data from multiple sensors to achieve improved accuracies and more specific inferences than could be achieved by using a single sensor alone [1], ...
(1997). Introduction to multisensor data fusion. Proceedings of the IEEE, 85(1): 6–23. Article Google Scholar Harris, C. J., Bailey, A., and Dodd, T. J. (1998). Multi-sensor data fusion in defence and aerospace. The Aeronautical Journal, 102(1015): 229–244. Google Scholar ...
1. Introduction Data fusion is the process of combining data from multiple sensors in order to obtain better 3D model of an object than that obtained from single sensor data. 3D modeling of an object is a key parameter for object visualization, classification and localization. Different data acqu...