NDLI: Low complexity tracking for ad-hoc automotive sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Rydstrom, M. Urruela, A. Strom, E. Svensson, A.
Copyright Year	2004
Description	Author affiliation: Dept. of Signals & Syst., Chalmers Univ. of Technol., Gothenburg, Sweden (Rydstrom, M.; Urruela, A.; Strom, E.; Svensson, A.)
Abstract	The main focus of this paper is to investigate how the co-operative nature of an ad-hoc sensor network can be exploited in order to reduce the complexity of accurate node locationing algorithms in sensor networks. We propose a novel approach to target tracking, called node-aided tracking. The node-aided tracking algorithm is assisted in the tracking process by the tracked nodes in the network, allowing for a reduction in filter complexity. This approach is shown to be sensitive to network delays. The effects of such delays are investigated, and simple countermeasures are presented that stabilize the algorithm. Further, we present a novel way of evaluating the performance of tracking filters used in automotive safety applications. This new measure, called the time margin difference, takes not only the mean-squared-error into account but also latency in providing location estimates and other important filter characteristics for a fair comparison between different tracking algorithms designed for automotive safety applications. At the end of the paper we present a brief comparison, based on simulation, between the node-aided tracking filter and a traditional high-order Kalman filter with respect to this new performance measure.
Starting Page	585
Ending Page	591
File Size	542428
Page Count	7
File Format	PDF
ISBN	0780387961
DOI	10.1109/SAHCN.2004.1381961
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2004-10-04
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Automotive engineering Target tracking Filters Sensor systems Telecommunication traffic Road accidents Collision avoidance Safety Delay Intelligent transportation systems
Content Type	Text
Resource Type	Article

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