基于多源异类信息的化学羽流追踪研究Study on chemical plume tracking based on multi-source and heterogeneous information
周杰,袁杰,卫晓军,湾玥
摘要(Abstract):
为了在多种信息融合中提高化学羽流追踪效果,采用基于多源异类信息的化学羽流追踪方法。通过加权平均融合算法将浓度、红外避障及视觉检测传感器对化学羽流源模型采集的数据进行融合,计算出决策阈值;再通过建立的先验知识库和化学羽流源模型库的支持下,提出基于多源异类信息的化学羽流追踪策略,包括化学羽流搜寻、追踪及羽流源确认过程。通过实验验证,化学羽流源位置误差?e=0.216,实现了机器人对羽流源位置的精确定位。
关键词(KeyWords): 化学羽流;加权平均融合算法;知识库;多源异类信息;决策阈值;先验知识库
基金项目(Foundation): 新疆维吾尔自治区自然科学基金项目(2016D01C032)~~
作者(Author): 周杰,袁杰,卫晓军,湾玥
DOI: 10.16652/j.issn.1004-373x.2018.15.034
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