Achieving autonomous navigation in ground robotic vehicles

被引：0

作者：

Jackel, LD ^{[1
]}

Fish, S ^{[1
]}

Krotkov, E ^{[1
]}

Perschbacher, M ^{[1
]}

Pippine, J ^{[1
]}

机构：

[1] IPTO, DARPA, Arlington, VA 22203 USA

来源：

MOBILE ROBOTS XVII | 2004年 / 5609卷

关键词：

autonomous navigation; perception; machine learning; PerceptOR; LAGR; robotic ground vehicles;

D O I：

10.1117/12.580862

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A long-held dream for robotics researchers is the creation of vehicles that can move to a goal without human supervision, adapting as required to changing circumstances. While today's ground robots are still far from achieving such complete autonomy, substantial progress has been attained. In this paper we describe the state-of-the-art in autonomous around vehicle navigation as observed in the recently completed DARPA PerceptOR program, and we suggest new research directions where we see opportunities for leaps in performance.

引用

页码：201 / 206

页数：6

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