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Reviewed article

Robot Map Building From Sonar Sensors and DSmT

Xinde Li, Xinhan HUANG, Min WANG
How to cite:
Xinde Li, Xinhan HUANG, Min WANG
"Robot Map Building From Sonar Sensors and DSmT"
Information & Security: An International Journal,
20,
(2006):
104-121.
http://dx.doi.org/10.11610/isij.2005

Robot Map Building From Sonar Sensors and DSmT

20.05_XindeLi.pdf

Authors:

Xinde Li, Xinhan HUANG, Min WANG

Source:

Information & Security: An International Journal,
Volume: 20,
p.104-121
(2006)

Keywords:

DSmT, grid map, Information Fusion, Mobile robot, Uncertainty

Abstract:

Knowledge acquisition in map building presents characteristics of uncertainty and imprecision. Especially in the course of building grid map using sonar, this uncertainty is especially severe. Jean Dezert and Florentin Smarandache have recently proposed a new information fusion arithmetic (DSmT) whose greatest merit is to deal with uncertainty and conflict of information. In this paper, based on the arithmetic of DSmT, we can fuse information of different reliable degree for homogeneous or heterogeneous sensors. Then we established the belief model for sonar grid map, and constructed the generalized basic belief assignment function (gbbaf). Pioneer II mobile robot served as the experiment platform, and 3D Map was built based on DSmT online. At last, this paper established a firm foundation on studying dynamic unknown environment and multi-robots building map together and SLAM (simultaneous localization and mapping).

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25
Citations
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" Medical Image Segmentation of Liver Tumors with Multi-phase Deficiency Based on Hierarchical Knowledge Distillation Network."
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(2024):
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