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18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06)
The Culebra Algorithm for Path Planning and Obstacle Avoidance in Kat-5
Arlington, Virginia
November 13-November 15
ISBN: 0-7695-2728-0
ASCII Text
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Jorge Nagel, Paul G. Trepagnier, Cris Koutsougeras, Powell M. Kinney, Matthew Dooner, "The Culebra Algorithm for Path Planning and Obstacle Avoidance in Kat-5," Tools with Artificial Intelligence, IEEE International Conference on, pp. 247-253, 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06), 2006.
 
 
BibTex
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@article{ 10.1109/ICTAI.2006.110,
author = {Jorge Nagel and Paul G. Trepagnier and Cris Koutsougeras and Powell M. Kinney and Matthew Dooner},
title = {The Culebra Algorithm for Path Planning and Obstacle Avoidance in Kat-5},
journal ={Tools with Artificial Intelligence, IEEE International Conference on},
volume = {0},
year = {2006},
issn = {1082-3409},
pages = {247-253},
doi = {http://doi.ieeecomputersociety.org/10.1109/ICTAI.2006.110},
publisher = {IEEE Computer Society},
address = {Los Alamitos, CA, USA},
}
 
 
RefWorks Procite/RefMan/Endnote
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TY - CONF
JO - Tools with Artificial Intelligence, IEEE International Conference on
TI - The Culebra Algorithm for Path Planning and Obstacle Avoidance in Kat-5
SN - 1082-3409
SP247
EP253
A1 - Jorge Nagel,
A1 - Paul G. Trepagnier,
A1 - Cris Koutsougeras,
A1 - Powell M. Kinney,
A1 - Matthew Dooner,
PY - 2006
KW - null
VL - 0
JA - Tools with Artificial Intelligence, IEEE International Conference on
ER -
 
Jorge Nagel, GrayMatter, Inc., USA
Paul G. Trepagnier, GrayMatter, Inc., USA
Cris Koutsougeras, Southeastern LA University, USA
Powell M. Kinney, GrayMatter, Inc., USA
Matthew Dooner, GrayMatter, Inc., USA
Kat-5 was the fourth vehicle to successfully finish the DARPA 2005 Grand Challenge; the first time ever that autonomous vehicles were able to successfully complete such a task. In this paper, we describe the methods that were used to develop the vehicle?s path planning and obstacle avoidance algorithms, which allowed Kat-5 to successfully navigate completely autonomously the 132 miles course over rough and previously unrehearsed and unknown terrain at relatively high speeds.
Citation:
Jorge Nagel, Paul G. Trepagnier, Cris Koutsougeras, Powell M. Kinney, Matthew Dooner, "The Culebra Algorithm for Path Planning and Obstacle Avoidance in Kat-5," ictai, pp.247-253, 18th IEEE International Conference on Tools with Artificial Intelligence (ICTAI'06), 2006
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