Abstract: With the growing trend of indoor mobile robots in the present day, such as elder caring and shopping helper, the issue of indoor robot navigation is becoming very important. In order to navigate mobile robots walk around in a room environment safely, the building of an indoor map is critical. However, the corner differentiation is usually becoming a significant issue. A robot should visit all corners and their consisting planes in a room correctly. Therefore, an efficient corner differentiation approach is essential for an indoor robot. In order to improve this issue, an effective corner differentiation is proposed in this paper to develop an indoor map building process.

• Publication Date: 27-Aug-2014
• DOI: 10.15224/978-1-63248-024-8-02
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Abstract: Mobile applications that provide location-based services need to retrieve the user's current location. It is well known that the location of a mobile device can be determined by using GPS. In addition to GPS, the use of network-based location estimation methods in today’s mobile devices is common. This paper aims to study the accuracy of the network-based location estimation methods in cellular networks. An empirical study is carried out to find out the major factors that affect the accuracy of location estimation. Firstly, a number of measurement tools are developed and identified for the collection of location information of a mobile device. The information includes the actual location and those locations that are estimated by different external location providers. Secondly, a number of experiments are designed to collect location information in different situations and conditions. Thirdly, data are processed and analyzed to identify the major factors that affect the accuracy. Our ex

• Publication Date: 27-Aug-2014
• DOI: 10.15224/978-1-63248-024-8-03
• Views: 0
• Downloads: 0