Multisensory fusion is being increasing viewed as an important activity in the filed of mobile robot navigation and obstacle avoidance. The fusion of data from a variety of sensors makes the mobile robot more easily survival in a hostile environment. It takes advantage of the redundancy and reciprocity of multisensory data and increases the precision and reliability of inference and judgment for the mobile robot. This paper presents a method which employs fuzzy logic and neural networks to fuse data from several kinds of sensors. As a result, more exact navigation and quick obstacle avoidance can be achieved. © Springer-Verlag Berlin Heidelberg 2005.
CITATION STYLE
Ge, W., & Cao, Z. (2005). Mobile robot navigation based on multisensory fusion. In Lecture Notes in Computer Science (Vol. 3612, pp. 984–987). Springer Verlag. https://doi.org/10.1007/11539902_125
Mendeley helps you to discover research relevant for your work.