Ultrasonic Detection in Robotic Environments
(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:
https://lup.lub.lu.se/record/8517152
- author
- Sobral, L. ; Johansson, Rolf LU ; Lindstedt, Gunnar LU and Olsson, Gustaf LU
- organization
- publishing date
- 1996
- 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}}, }