Comparison Of Techniques For Sensor Fusion Under Uncertain Conditions
Partha S. Chatterjee, Terrance L. Huntsberger · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1989
There are a number of methods for the combination of multiple sensor outputs for the interpretation of a scene. Among these are Bayesian, Dempster-Shafer, fuzzy and modified Dempster-Shafer methods. This paper presents a comparison of various techniques for the combination of the information from multiple sensors under uncertain conditions. Oftentimes, sensor independence is an underlying assumption for the sensor fusion process. The experimen-tal studies presented in this paper indicate that interpretation of sensor fusion results as far as the use of thresholds is further complicated due to this assumption. The different systems that are compared have results that numerically differ by as much as 20%, which indicates the need for further studies along these lines.