Abstract
Location-based services (LBS) have evolved to the point that a smartphone is considered incomplete if it does not have navigation functionality. In fact, basic navigation functionalities are no longer sufficient, because of the limited capabilities of traditional solutions. The main challenge with low-cost MEMS sensors in smartphones is that they cannot be used without proper error modeling because of high noise characteristics and bias instabilities. Thus, the T-PN has innovative algorithms that autonomously develop custom error models, turning the available sensors into navigation-capable inertial sensors, without any restrictions on the user or any delay in the navigation solution. Changing orientations cannot be avoided for smartphone based navigation. While navigating, users will take calls, text, and check their position; therefore it is impractical to request that the user keep the phone fixed to their body. The solution must be robust to provide navigation for these common use-case scenarios.
Original language | English |
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Pages | 30-35 |
Number of pages | 6 |
Volume | 24 |
No. | 3 |
Specialist publication | GPS World |
Publication status | Published - 2013 Mar |
All Science Journal Classification (ASJC) codes
- General Earth and Planetary Sciences