Indoor Positioning

Funding for ByteLight Pinpoints Indoor Location Using LED Lighting

October 22, 2012By

By Janice Partyka. ByteLight, a provider of LED (light-emitting diode) based indoor positioning technology, announced that it has received $1.25 million in funding from individual and institutional investors, led by VantagePoint Capital Partners. ByteLight will use the funding to build its team, deploy at pilot locations, and expand its ecosystem of lighting partners. Using ByteLight’s LED lighting-based indoor positioning solution,... read more

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iOS, Android Adoption 10 Times that of PCs

September 20, 2012By

We are making history. The rate of iOS and Android device adoption has surpassed adoption rates for any other consumer technology in recent history, reports analytics firm Flurry. Android and iOS devices are being adopted at a rate 10 times faster than the rate of PC adoption during the 1980s. Smart device adoption is growing twice as fast as Internet... read more

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In-Location Alliance to Promote Location-Based Indoor Solutions

September 14, 2012By

The In-Location Alliance was launched August 23 by 22 companies across location industries to drive innovation and market adoption of high-accuracy indoor positioning and related services. Accurate indoor positioning opens up plenty of possibilities for new mobile services. For a consumer this could mean, for example, receiving directions to the right products and personalized product promotions in nearby shops; using... read more

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Walgreens Gets Mapped

August 15, 2012By

Walgreens, the largest U.S. drugstore chain, announced a partnership with in-store mapping and search startup aisle411. As a result of this partnership shoppers can use their iPhone or Android smartphones to view maps of any of the 7,907 Walgreens stores and locate products down to a particular section of each aisle. Walgreens is said to be the first U.S. national retailer with all of its stores mapped in a mobile application. read more

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Expert Advice: Location by Database

June 1, 2012By
Figure 6. Predicted signal strength for one transmitter in the San Francisco financial district.

Radio-Frequency Pattern Matching By Tarun Bhattacharrya, Hassan El-Sallabi, Jian Zhu, Jeff Wu, and Per Enge Radio-frequency pattern matching (RFPM) is the engine that enables the use of mobile-phone signals to locate wireless devices in any environment, including dense downtown areas and indoors. This exciting technology leverages the power of the database to improve location accuracy to within 50 meters in... read more

Expert Advice: Location Context, Relevance for Revenue

February 1, 2012By
NY Heat Map

Mobility’s first phase saw fixed-line communications go mobile. The next phase saw the Internet go mobile. We now behold a paradigm shift in the third phase, where real world communication bridges to the virtual world, via richer communications on smartphones. For device manufacturers and location-aware service and app creators, it’s no longer about creating unique standalone experiences, it’s about enhancing real-time experiences by enriching everyday consumer behavior with virtual content and relevant information to a particular place and point in time. read more

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Indoor Location Apps Lead to Compelling User Experience

November 9, 2011By

Indoor location technology is evolving; indoor mapping is coming along and apps that seamlessly work in and out of doors will make a compelling experience more compelling. Bringing mobile location to indoors will stimulate our industry. The killer app? Apps that can self learn to be personalized to a user’s life, lived in and out of doors (check traffic before... read more

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Calculating Time-to-First-Fix

November 1, 2011By
Figure 5. Indoors signal strength (C/N0) for satellite PRN09. Each colored curve represents the signal strength measured on a different day, starting at the same orbital time.

Cell-phone users are often more concerned about the speed of positioning than the accuracy, making time-to-first-fix the most important factor in a GNSS mass-market receiver’s perceived performance. However, TTFF is generally difficult to characterize and optimize because of the need to encompass a wide range of environments, including indoors. read more

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