Improving Navigation for Street Data using Mobile Augmented Reality

Augmented Reality

The popularity of smart devices and Location Based Services is increasing in part due to users demand for personalized information associated with their location. These services provide intuitive and realistic information by adopting Augmented Reality(AR) technology. This technology utilizes various sensors embedded in the mobile devices like Global Positioning System(GPS), Compass, Accelerometer, Gyroscope. Current mobile AR applications using Location based service which contain POI data only display location information. MAR is usually constrained by the local storage and computing power of the device as well as the latency and bandwidth of the underlying wireless channel. We proposed the Local Cache Management (LCM) problem to manage the computation and communication work of a mobile device and harmonize the local and remote workloads. We use strategy to pre-fetch higher-priority objects from the server and replace lower-priority objects in the local cache.

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