The Culebra algorithm for path planning and obstacle avoidance in Kat-5

被引：0
|
作者：
Nagel, Jorge [1 ]
Trepagnier, Paul G. [1 ]
Koutsougeras, Cris [2 ]
Kinney, Powell M. [1 ]
Dooner, Matthew [1 ]
机构：
[1] GrayMatter Inc, 2612 Severn Ave, Metairie, LA 70002 USA
[2] Southeastern Louisiana Univ, Dept Comp Sci & Ind Technol, Hammond, LA 70402 USA
来源：
ICTAI-2006: EIGHTEENTH INTERNATIONAL CONFERENCE ON TOOLS WITH ARTIFICIAL INTELLIGENCE, PROCEEDINGS | 2006年
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
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.
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页码：247 / +
页数：2
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