NDLI: Object identification in dynamic environment using sensor fusion

Content Provider	IEEE Xplore Digital Library
Author	Nagla, K.S. Uddin, M. Singh, D. Kumar, R.
Copyright Year	2010
Description	Author affiliation: Dr BR Ambedkar National Institute of Technology, Jalandhar, India (Nagla, K.S.; Uddin, M.; Singh, D.; Kumar, R.)
Abstract	Multisensor data fusion is highly applicable in robotics applications because the relationships among objects and events changes due to the change in orientation of robot, snag in sensory information, sensor range and environmental conditions etc. High level and low level image processing in machine vision are widely involved to investigate object identification in complex application. Due to the limitations of vision technology still it is difficult to identify the objects in certain environments. A new technique of object identification using sonar sensor fusion has been proposed. This paper explains the computational account of the data fusion using Bayesian and neural network to recognize the shape of object in the dynamic environment.
Starting Page	1
Ending Page	4
File Size	194433
Page Count	4
File Format	PDF
ISBN	9781424488339
ISSN	15505219
e-ISBN	9781424488346
DOI	10.1109/AIPR.2010.5759682
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2010-10-13
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Robot sensing systems Artificial neural networks Sonar Sensor fusion Neurons Probabilistic logic Training neural network Sonar sensor model grid based map
Content Type	Text
Resource Type	Article

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