Accuracy of positioning data on smartphones

Watzdorf, Stephan von; Michahelles, Florian

doi:10.1145/1899662.1899664

Cited by 47 publications

(38 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Mobile phone GNSS is comparable to other recreational GNSS units [71], [72]. von Watzdorf and Michahelles [73] determined that different devices, specifically the Apple ® iPhone, iPod Touch and iPad, had differences in positional accuracy due to differences in different localization technologies. Zandbergen [69] hardware (all applications were tested using a separate HTC Desire Bravo smartphone) and location.…”

Section: Accuracy Of Smartphone Localizationmentioning

confidence: 99%

A Custom GPS Recording System for Improving Operational Performance of Aerially-Deployed Herbicide Ballistic Technology

Rodríguez¹

2014

2014 ASABE Annual International Meeting

View full text Add to dashboard Cite

ACKNOWLEDGEMENTSI would like to express my sincere gratitude to those who helped me complete this thesis:To my advisor Dr. Daniel Jenkins for his support and guidance on my studies and research. I am grateful for his immense patience through my successes and failures.To Dr. James Leary for his advice and criticisms and providing me with a challenging and enjoyable research project.To Dr. Soojin Jun for his review and suggestions over the course of the project.To Dr. James Foster and the Pacific GPS Facility for providing resources and facilities for portions of this project.To Ryan Kurasaki for assistance and advice in the mechanical design and machining of early prototypes. In an effort to improve operations, GPS and other sensors were integrated directly into the electro-pneumatic device for instantaneously recording time, origin, and trajectory of each projectile discharged. These data are transmitted wirelessly to a custom android application that displays target information in real-time both textually and on a map. The application also records data into a comma delimited file so that it can easily be recalled for map display, or exported to other software such as for conducting additional GIS analysis. The logger makes data collection a seamless part of the operation, facilitates logistics of applying airborne HBT, and improves our interpretations of operational HBT performance with more statistically robust measures of herbicide use rate and time-on-target. This provides enhanced capabilities for building operational intelligence relevant to landscape scale invasive species management.

show abstract

Section: Accuracy Of Smartphone Localizationmentioning

confidence: 99%

A Custom GPS Recording System for Improving Operational Performance of Aerially-Deployed Herbicide Ballistic Technology

Rodríguez¹

2014

2014 ASABE Annual International Meeting

View full text Add to dashboard Cite

show abstract

“…The precision and accuracy of mobile devices in determining their geographic position were proved to vary considerably depending on the context (urban areas, rural areas, etc.) [44]. In a detailed experiment on the accuracy of GPS sensors installed on mobile devices, Blum et al show that the location is reported with a precision varying from 10 to 60 meters, depending on the device orientation and type, and, in cities, on the surrounding buildings [3].…”

Section: Spatial Representationmentioning

confidence: 99%

Location privacy without mutual trust: The spatial Bloom filter

Calderoni

Palmieri

Maio

2015

Computer Communications

View full text Add to dashboard Cite

Access to the full text of the published version may require a subscription. Rights AbstractLocation-aware applications are one of the biggest innovations brought by the smartphone era, and are effectively changing our everyday lives. But we are only starting to grasp the privacy risks associated with constant tracking of our whereabouts. In order to continue using location-based services in the future without compromising our privacy and security, we need new, privacy-friendly applications and protocols. In this paper, we propose a new compact data structure based on Bloom filters, designed to store location information. The Spatial Bloom Filter (SBF), as we call it, is designed with privacy in mind, and we prove it by presenting two private positioning protocols based on the new primitive. The protocols keep the user's exact position private, but allow the provider of the service to learn when the user is close to specific points of interest, or inside predefined areas. At the same time, the points and areas of interest remain oblivious to the user. The two proposed protocols are aimed at different scenarios: a two-party setting, in which communication happens directly between the user and the service provider, and a three-party setting, in which the service provider outsources to a third party the communication with the user. A detailed evaluation of the efficiency and security of our solution shows that privacy can be achieved with minimal computational and communication overhead. The potential of spatial Bloom filters in terms of generality, security and compactness makes them ready for deployment, and may open the way for privacy preserving location-aware applications.

show abstract

“…The precision and accuracy of mobile devices in determining their geographic position were proved to vary considerably depending on the context (urban areas, rural areas, etc.) [20].…”

Section: B More On Spatial Representationmentioning

confidence: 99%

Spatial Bloom Filters: Enabling Privacy in Location-Aware Applications

Palmieri

Calderoni

Maio

2015

Information Security and Cryptology

View full text Add to dashboard Cite

Abstract. The wide availability of inexpensive positioning systems made it possible to embed them into smartphones and other personal devices. This marked the beginning of location-aware applications, where users request personalized services based on their geographic position. The location of a user is, however, highly sensitive information: the user's privacy can be preserved if only the minimum amount of information needed to provide the service is disclosed at any time. While some applications, such as navigation systems, are based on the users' movements and therefore require constant tracking, others only require knowledge of the user's position in relation to a set of points or areas of interest. In this paper we focus on the latter kind of services, where location information is essentially used to determine membership in one or more geographic sets. We address this problem using Bloom Filters (BF), a compact data structure for representing sets. In particular, we present an extension of the original Bloom filter idea: the Spatial Bloom Filter (SBF). SBF's are designed to manage spatial and geographical information in a space efficient way, and are well-suited for enabling privacy in location-aware applications. We show this by providing two multi-party protocols for privacy-preserving computation of location information, based on the known homomorphic properties of public key encryption schemes. The protocols keep the user's exact position private, but allow the provider of the service to learn when the user is close to specific points of interest, or inside predefined areas. At the same time, the points and areas of interest remain oblivious to the user.

show abstract

Accuracy of positioning data on smartphones

Cited by 47 publications

References 2 publications

A Custom GPS Recording System for Improving Operational Performance of Aerially-Deployed Herbicide Ballistic Technology

A Custom GPS Recording System for Improving Operational Performance of Aerially-Deployed Herbicide Ballistic Technology

Location privacy without mutual trust: The spatial Bloom filter

Spatial Bloom Filters: Enabling Privacy in Location-Aware Applications

Contact Info

Product

Resources

About