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.

引用

页码：247 / +

页数：2

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