Sensor fusion for omnidirectional sensor-based local homing navigation using fuzzy arithmetic

Cited 0 time in webofscience Cited 0 time in scopus
  • Hit : 141
  • Download : 0
In this paper, we propose a novel environment modeling method for local homing for indoor mobile navigation. An environment model is constructed from a set of omnidirectional sensor data obtained by rotating an ultrasonic sensor and a vision sensor. We develop a sensor fusion method to deal with uncertainties in the two types of sensor data. The proposed sensor fusion method uses fuzzy numbers to represent subjective knowledge and manipulates uncertain quantities using fuzzy arithmetic. Using the proposed method, we can determine a more precise geometric relation between the current location and the target location. To evaluate the proposed environment modeling and to verify the sensor fusion method, experiments are carried our in an indoor environment.
Publisher
AUTOSOFT PRESS
Issue Date
1998
Language
ENG
Article Type
Article
Keywords

SYSTEMS

Citation

INTELLIGENT AUTOMATION AND SOFT COMPUTING, v.4, no.3, pp.215 - 226

ISSN
1079-8587
URI
http://hdl.handle.net/10203/73201
Appears in Collection
EE-Journal Papers(저널논문)
Files in This Item
There are no files associated with this item.

qr_code

  • mendeley

    citeulike


rss_1.0 rss_2.0 atom_1.0