Multi-source information fusion and its application
Lin You · Ha'erbin gongye daxue xuebao · 2000
Presents a new method to fuse multi sensor information. In some cases, we can not get the accurate result from one sensor. However, we can show all the information of the object in the round by adding another assistant sensor. Using a fuzzy measure method, we can reduce the dependence on the level of information. Based on the different function field of the sensor, we fuse two signals by Knowledge Source Corroboration and Belief Enhancement/Withdraw. The result of the emulation shows that this method can solve the problem that one sensor can not solve.