Referenced Items are not available for this document.
In this paper, we describe a framework for predicting future positions and orientation of moving obstacles in a time-varying environment using autoregressive model (ARM) with conditional maximum likelihood estimate of the model parameters. No constraints are placed on the obstacles motion. The proposed algorithm can be used in a variety of applications, one of which is robot motion planning in time varying environments
Published in:
Systems, Man and Cybernetics, Part A: Systems and Humans, IEEE Transactions on
(Volume:28
,
Issue:
6
)
Date of Publication: Nov 1998
- Page(s):
- 803 - 810
- ISSN :
- 1083-4427
- INSPEC Accession Number:
- 6071802
- Digital Object Identifier :
- 10.1109/3468.725351
- Product Type:
- Journals & Magazines
- Date of Current Version :
- 06 August 2002
- Issue Date :
- Nov 1998
- Sponsored by :
- IEEE Systems, Man, and Cybernetics Society
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