Vehicle Localization based on Interval Constraint Propagation Algorithms

被引：0
|
作者：
Kueviakoe, Kangni [1 ,2 ]
Lambert, Alain [3 ]
Tarroux, Philippe [4 ]
机构：
[1] LIMSI, CNRS, F-91400 Orsay, France
[2] Univ Paris 11, IEF, F-91400 Orsay, France
[3] IFSTTAR, LIVIC, F-78000 Versailles, France
[4] CNRS, LIMSI, ENS, F-75230 Paris, France
来源：
2013 IEEE 3RD ANNUAL INTERNATIONAL CONFERENCE ON CYBER TECHNOLOGY IN AUTOMATION, CONTROL AND INTELLIGENT SYSTEMS (CYBER) | 2013年
关键词：
Data Fusion; CSP; Interval Analysis; Constraint Propagation; GPS; Vehicle Positioning; ARC-CONSISTENCY; NETWORKS; REAL;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Vehicle localization can be stated as a Constraint Satisfaction Problem (CSP). Interval Constraint Propagation (ICP) algorithms allow us to solve CSPs. This paper discusses the performance of some ICP algorithms applied to vehicle localization. Each of them is fed with the same data obtained with our experimental vehicle equipped with odometers, a gyro and a GPS receiver. Results present the efficiency of these algorithms in terms of heading and positioning accuracy. It is shown that local consistency algorithms do not correct the heading imprecision.
引用
收藏
页码：179 / +
页数：2
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