Probabilistic navigation methods for uncertain and dynamic environments

Philippe Burlina; Daniel De Menthon; Larry S. Davis

doi:10.1109/ICPR.1992.201564

Probabilistic navigation methods for uncertain and dynamic environments

Philippe Burlina, Daniel De Menthon, Larry S. Davis

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Scopus citations

Abstract

The trajectory planning problem for mobile robots in unknown dynamic workspaces is posed as an optimization problem with optimality criteria the probability of not colliding with the obstacles and the probability of accessing an operational position with respect to a moving target object. We study a formal computational framework in which such probabilities can be derived for elementary robot displacements.

Original language	English (US)
Title of host publication	Conference A
Subtitle of host publication	Computer Vision and Applications
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	312-315
Number of pages	4
ISBN (Print)	081862910X
DOIs	https://doi.org/10.1109/ICPR.1992.201564
State	Published - 1992
Externally published	Yes
Event	11th IAPR International Conference on Pattern Recognition, IAPR 1992 - The Hague, Netherlands Duration: Aug 30 1992 → Sep 3 1992

Publication series

Name	Proceedings - International Conference on Pattern Recognition
Volume	1
ISSN (Print)	1051-4651

Other

Other	11th IAPR International Conference on Pattern Recognition, IAPR 1992
Country/Territory	Netherlands
City	The Hague
Period	8/30/92 → 9/3/92

ASJC Scopus subject areas

Computer Vision and Pattern Recognition

Access to Document

10.1109/ICPR.1992.201564

Cite this

Burlina, P., De Menthon, D., & Davis, L. S. (1992). Probabilistic navigation methods for uncertain and dynamic environments. In Conference A: Computer Vision and Applications (pp. 312-315). Article 201564 (Proceedings - International Conference on Pattern Recognition; Vol. 1). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/ICPR.1992.201564

Probabilistic navigation methods for uncertain and dynamic environments. / Burlina, Philippe; De Menthon, Daniel; Davis, Larry S.
Conference A: Computer Vision and Applications. Institute of Electrical and Electronics Engineers Inc., 1992. p. 312-315 201564 (Proceedings - International Conference on Pattern Recognition; Vol. 1).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Burlina, P, De Menthon, D & Davis, LS 1992, Probabilistic navigation methods for uncertain and dynamic environments. in Conference A: Computer Vision and Applications., 201564, Proceedings - International Conference on Pattern Recognition, vol. 1, Institute of Electrical and Electronics Engineers Inc., pp. 312-315, 11th IAPR International Conference on Pattern Recognition, IAPR 1992, The Hague, Netherlands, 8/30/92. https://doi.org/10.1109/ICPR.1992.201564

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author = "Philippe Burlina and {De Menthon}, Daniel and Davis, {Larry S.}",

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AB - The trajectory planning problem for mobile robots in unknown dynamic workspaces is posed as an optimization problem with optimality criteria the probability of not colliding with the obstacles and the probability of accessing an operational position with respect to a moving target object. We study a formal computational framework in which such probabilities can be derived for elementary robot displacements.

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ER -

Probabilistic navigation methods for uncertain and dynamic environments

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