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	High-Accuracy Parking Surveillance Based on Collaborative Decision Making
	Hongmei Zhu; Songde Qiu; Jun Shen; Fengqi Yu
	2018
会议日期	2018
会议地点	中国长春
英文摘要	A high-accuracy solution for parking surveillance based on collaborative decision making by using magnetic sensor nodes (MSNs) has been proposed. The magnetic distortions induced by vehicles can be measured by MSNs which connect with each other though wireless sensor network. However, the main challenge lies in the difficult of eliminating interferences in the measurements caused by adjacent moving vehicles or parking vehicles. In order to achieve the goal of high-accuracy, our work focus attention on dealing with these interferences. Due to their feature of temporality, the interferences from moving vehicles can be filtered by an efficient state-machine. Therefore, a multiinterim finite-state machine (MiFSM) has been introduced to deal with the interferences from moving vehicles. Besides, because most of vehicles induce significant disturbance, they can be correctly detected by MiFSM without any further detection. However, a few complicated and uncertain situations induced by adjacent parking vehicles are difficult to detection relying on a single MSN. So, these situations are defined as critical states in MiFSM and need further decision. In view of the simplicity and effectiveness of D-S evidence theory in processing uncertain information, a D-S based collaborative decision making (DS-CDM) has been proposed to transfer the critical states to final states by using adjacent collaborative MSNs. Experimental verification shows that our solution has a significant improvement in detection accuracy, as about 99.8% for vehicle arrival and 99.9% for vehicle departure.
内容类型	会议论文
源URL	[http://ir.siat.ac.cn:8080/handle/172644/14513]
专题	深圳先进技术研究院_医工所
推荐引用方式 GB/T 7714	Hongmei Zhu,Songde Qiu,Jun Shen,et al. High-Accuracy Parking Surveillance Based on Collaborative Decision Making[C]. 见:. 中国长春. 2018.

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