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Ultrasonic Detection in Robotic Environments

Sobral, L.; Johansson, R.; Lindstedt, Gunnar LU and Olsson, Gustaf LU (1996) IEEE International Conference on Robotics and Automation, 1996 In Proceedings., 1996 IEEE International Conference on Robotics and Automation 1. p.347-352
Abstract
Based on information produced by a 200 kHz ultrasonic echo device developed for robotics and other industrial purposes, a method for object identification was developed and is presented in this paper. Interpretation of the echos from the reflecting objects, complexity analysis and information extraction were made by system identification methods such as impulse response analysis and state-space realization. A clustering-type discrimination of different objects based on the echo identification result was made in a subsequent step using the least-squares method. Experimental evaluation showed that the method is effective for object recognition
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author
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
keywords
least squares approximations object recognition pattern classification robots state-space methods transient response ultrasonic transducers
in
Proceedings., 1996 IEEE International Conference on Robotics and Automation
volume
1
pages
347 - 352
conference name
IEEE International Conference on Robotics and Automation, 1996
external identifiers
  • Scopus:0029695195
ISBN
0-7803-2988-0
DOI
10.1109/ROBOT.1996.503801
language
English
LU publication?
yes
id
a223e231-fc50-421c-a55e-baedbe50cc80 (old id 4355014)
date added to LUP
2014-03-10 11:39:06
date last changed
2016-10-13 05:00:34
@misc{a223e231-fc50-421c-a55e-baedbe50cc80,
  abstract     = {Based on information produced by a 200 kHz ultrasonic echo device developed for robotics and other industrial purposes, a method for object identification was developed and is presented in this paper. Interpretation of the echos from the reflecting objects, complexity analysis and information extraction were made by system identification methods such as impulse response analysis and state-space realization. A clustering-type discrimination of different objects based on the echo identification result was made in a subsequent step using the least-squares method. Experimental evaluation showed that the method is effective for object recognition},
  author       = {Sobral, L. and Johansson, R. and Lindstedt, Gunnar and Olsson, Gustaf},
  isbn         = {0-7803-2988-0},
  keyword      = {least squares approximations object recognition pattern classification robots state-space methods transient response ultrasonic transducers},
  language     = {eng},
  pages        = {347--352},
  series       = {Proceedings., 1996 IEEE International Conference on Robotics and Automation},
  title        = {Ultrasonic Detection in Robotic Environments},
  url          = {http://dx.doi.org/10.1109/ROBOT.1996.503801},
  volume       = {1},
  year         = {1996},
}