The location stack: a layered model for location in ubiquitous computing

Hightower, Jeffrey; Brumitt, Barry; Borriello, Gaetano

doi:10.1109/mcsa.2002.1017482

Cited by 150 publications

(104 citation statements)

References 13 publications

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“…Branching (or merging if viewed in the processing direction) in the three occurs when position data from several sources are combined. Usually, combinations of data from several sources take place in special sensor fusion components which often is a part of positioning middlewares [5,6]. However, it may also take place in other high-level data reasoning components that also take into account other kinds of information, e.g., context information, user input or physical constraints based on building models.…”

Section: Design Of Layered Reification and Adaptation Of Position Promentioning

confidence: 99%

“…The first requirement of adding a new kind of positioning mechanism and using this in the middleware, without changing the interface has been fulfilled by existing positioning middleware: MiddleWhere [5], the Location Stack [6], and PoSIM [7]. Although some architectural issues remain, e.g., in the Location Stack the particle filter may be plugged in as a new kind of sensor.…”

Section: Introductionmentioning

confidence: 99%

“…In connection with the second requirement positioning middleware, such as MiddleWhere [5] and the Location Stack [6], expose a common representation of position information and uncertainty for all kinds of sensors. This means that they do not support accessing information that is not part of the interface or the process behind.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

PerPos: A Translucent Positioning Middleware Supporting Adaptation of Internal Positioning Processes

Jensen¹,

Schougaard²,

Kjærgaard

et al. 2010

Middleware 2010

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Abstract.A positioning middleware benefits the development of location aware applications. Traditionally, positioning middleware provides position transparency in the sense that it hides low-level details. However, many applications require access to specific details of the usually hidden positioning process. To address this problem this paper proposes a positioning middleware named PerPos that is translucent and adaptable, i.e., it supports both high-and low-level interaction. The PerPos middleware provides translucency with respect to the positioning process and allows programmatic definition of application specific features that can be applied to the internal position processing of the middleware. To evaluate these capabilities we extend the internal position processing of the middleware with functionality supporting probabilistic position tracking and strategies for minimization of the energy consumption. The result of the evaluation is that using only the proposed capabilities we can, in a structured manner, extend the internal positioning processing.

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Section: Design Of Layered Reification and Adaptation Of Position Promentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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PerPos: A Translucent Positioning Middleware Supporting Adaptation of Internal Positioning Processes

Jensen¹,

Schougaard²,

Kjærgaard

et al. 2010

Middleware 2010

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“…The Location Stack [5] provides a layered approach to access multiple positioning systems. Lower layer contain the low-level hardware, e.g.…”

Section: Related Workmentioning

confidence: 99%

Detecting identifiable areas in mobile environments

Roth

2006

Proceedings of the 2006 ACM Symposium on Applied Computing

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Location-based applications and services are getting increasingly important for mobile users. They take into account a mobile user's current location and provide a location-dependent output. To support developers of location-based services, the Nimbus framework hides specific details of positioning systems and provides uniform output containing physical as well as symbolic location information, which often are more suitable for applications and users. One basic problem solved by Nimbus is the Distributed Location Resolution Problem: given a location; which identifiable areas cover this location, if the area information is distributed among different servers. This paper presents a solution of this problem that runs in the distributed, self-organizing Nimbus infrastructure. The effectiveness is demonstrated with the help of performance analyses.

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“…More generally, outdoor localization on highly resource constrained devices based on radio signals has been proposed and explored in the RightSPOT project [31] and work on abstracting and merging many different sources of localization information is being done in the Location Stack [32,33].…”

Section: Homementioning

confidence: 99%

Opportunity Knocks: A System to Provide Cognitive Assistance with Transportation Services

Patterson

Liao

Gajos

et al. 2004

UbiComp 2004: Ubiquitous Computing

127

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Abstract. We present an automated transportation routing system, called "Opportunity Knocks," whose goal is to improve the efficiency, safety and independence of individuals with mild cognitive disabilities. Our system is implemented on a combination of a Bluetooth sensor beacon that broadcasts GPS data, a GPRS-enabled cell-phone, and remote activity inference software. The system uses a novel inference engine that does not require users to explicitly provide information about the start or ending points of their journeys; instead this information is learned from users' past behavior. Futhermore, we demonstrate how route errors can be detected and how the system helps to correct the errors with real-time transit information. In addition we present a novel solution to the problem of labeling positions with place names.

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The location stack: a layered model for location in ubiquitous computing

Cited by 150 publications

References 13 publications

PerPos: A Translucent Positioning Middleware Supporting Adaptation of Internal Positioning Processes

PerPos: A Translucent Positioning Middleware Supporting Adaptation of Internal Positioning Processes

Detecting identifiable areas in mobile environments

Opportunity Knocks: A System to Provide Cognitive Assistance with Transportation Services

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