Target Localization and Tracking of Unmanned Mining Equipment Based on Multi-sensor Information Fusion Technology

被引：0
|
作者：
Li, Xuan [1 ]
Chi, Jiannan [1 ]
Zhang, Weicun [1 ]
机构：
[1] Univ Sci & Technol Beijing, Sch Automat & Elect Engn, Beijing 100083, Peoples R China
来源：
PROCEEDINGS OF THE 2015 CHINESE INTELLIGENT SYSTEMS CONFERENCE, VOL 1 | 2016年 / 359卷
关键词：
Multiple model adaptive kalman filtering; Weighted multiple model adaptive control; Information fusion;
D O I：
10.1007/978-3-662-48386-2_40
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
The accurate localization is very important for mobile devices to make right decisions about autonomous path planning, avoiding obstacles and finishing other complex tasks. This paper presents a research on the localization and tracking technology of autonomous underground mining equipment. Two types of Kalman filters are considered as information fusion method: multi-sensor multi-model adaptive Kalman filtering and weighted adaptive multiple model Kalman filtering.
引用
收藏
页码：383 / 391
页数：9
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