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Ultrasonic Detection in Robotic Environments

Sobral, L. ; Johansson, Rolf LU orcid ; Lindstedt, Gunnar LU and Olsson, Gustaf LU (1996) IEEE International Conference on Robotics and Automation, 1996
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.
Please use this url to cite or link to this publication:
author
; ; and
organization
publishing date
type
Chapter in Book/Report/Conference proceeding
publication status
published
subject
host publication
Proceedings of IEEE International Conference on Robotics and Automation
publisher
IEEE - Institute of Electrical and Electronics Engineers Inc.
conference name
IEEE International Conference on Robotics and Automation, 1996
conference location
Minneapolis, Minnesota, United States
conference dates
1996-04-22 - 1996-04-28
ISBN
0-7803-2988-0
DOI
10.1109/ROBOT.1996.503801
project
RobotLab LTH
Lund Research Programme in Autonomous Robotics, 1996-1997
language
English
LU publication?
yes
id
5b8bab19-2941-4f08-9e3f-55d966e3bd48 (old id 8517152)
date added to LUP
2016-04-04 14:14:08
date last changed
2022-01-30 01:39:35
@inproceedings{5b8bab19-2941-4f08-9e3f-55d966e3bd48,
  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, Rolf and Lindstedt, Gunnar and Olsson, Gustaf}},
  booktitle    = {{Proceedings of IEEE International Conference on Robotics and Automation}},
  isbn         = {{0-7803-2988-0}},
  language     = {{eng}},
  publisher    = {{IEEE - Institute of Electrical and Electronics Engineers Inc.}},
  title        = {{Ultrasonic Detection in Robotic Environments}},
  url          = {{http://dx.doi.org/10.1109/ROBOT.1996.503801}},
  doi          = {{10.1109/ROBOT.1996.503801}},
  year         = {{1996}},
}