The application of multiple sensors for object classification is commonly used in unmanned
intelligent systems such as autonomous driving and robots. Current researches based on …

Multi-sensor information fusion plays an important role in practical application. Although DS
evidence theory can handle this information fusion task regardless of prior knowledge …

Multi-sensor fusion is widely used in object recognition and classification at present, since
this technique can efficiently improve the accuracy and the ability of fault tolerancy. This …

Spatially distributed network of inexpensive, small and smart nodes with multiple onboard
sensors is an important class of emerging networked systems for various applications. Since …

This article describes the joint measures method as a new powerful method for the
development of a high performance multi-sensor data/image fusion scheme at the decision …

Decision‐making algorithm, as the key technology for uncertain data fusion, is the core to
obtain reasonable multisensor information fusion results. DS evidence theory is a typical …

In pattern classification problem, different classifiers learnt using different training data can
provide more or less complementary knowledge, and the combination of classifiers is …

Multi-sensor data fusion technology plays an important role in real applications. Because of
the flexibility and effectiveness in modeling and processing the uncertain information …

In multisensor systems, complementary observations from different sensors need to be
combined with each other. Due to the uncertainty, sensor reports can be represented by …

In recent years, numerous multisensor data fusion systems have been developed for wide
application. There are many algorithms in multisensor data fusion, DS evidence theory is a …