Novel Model Based Path Planning for Multi-Axle Steered Heavy Load Vehicles

被引：0

作者：

Beyersdorfer, Susann ^{[1
]}

Wagner, Sebastian ^{[1
]}

机构：

[1] Fraunhofer Inst Transportat & Infrastruct Syst IV, Dresden, Germany

来源：

2013 16TH INTERNATIONAL IEEE CONFERENCE ON INTELLIGENT TRANSPORTATION SYSTEMS - (ITSC) | 2013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：

Maneuvering heavy load transports on narrow roads is a challenging task that requires a precise and reliable planning in advance. This paper introduces a novel procedure that improves planning and execution of heavy load transports by using path planning algorithms. The proposed algorithm augments existing approaches significantly to enable path planning for multi-body vehicles with multi-axle steering.

引用

页码：424 / 429

页数：6

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