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
收藏
页码：424 / 429
页数：6
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