Human indoor location for binary infrared sensor tracking system: On improved credit and dynamic pruning algorithm | |
Yuan Lulu; Yang Bo; Wei Qifan | |
刊名 | ISA transactions
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2019 | |
卷号 | 94页码:370-378 |
关键词 | Dynamic pruning algorithm Human target location Improved credit location method Measurement points PIR sensor system |
ISSN号 | 1879-2022 |
DOI | 10.1016/j.isatra.2019.04.022 |
URL标识 | 查看原文 |
收录类别 | EI ; PUBMED |
内容类型 | 期刊论文 |
URI标识 | http://www.corc.org.cn/handle/1471x/5919624 |
专题 | 北京航空航天大学 |
推荐引用方式 GB/T 7714 | Yuan Lulu,Yang Bo,Wei Qifan. Human indoor location for binary infrared sensor tracking system: On improved credit and dynamic pruning algorithm[J]. ISA transactions,2019,94:370-378. |
APA | Yuan Lulu,Yang Bo,&Wei Qifan.(2019).Human indoor location for binary infrared sensor tracking system: On improved credit and dynamic pruning algorithm.ISA transactions,94,370-378. |
MLA | Yuan Lulu,et al."Human indoor location for binary infrared sensor tracking system: On improved credit and dynamic pruning algorithm".ISA transactions 94(2019):370-378. |
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