Lunar robot information fusion based on D- S evidence theory
Meng We · Ha'erbin gongye daxue xuebao · 2003
To solve unconditional and empirical problem in the relationship among sensor data in classical D - S evidence theory, mutual belief operator is introduced to describe the mutual support degree among evi- dences, which increases reliability of the decision. D - S theory is adopted in lunar robot' s information fu- sion. Experience is presented in obstacles detecting and results show the effectiveness and correctives of the method.