Location Sensors

  • Jung-Sup Um


Artificial intelligence needs to be moved around in various places to replace natural intelligence. Location information for various places must be provided beforehand so that destinations can be set for the movement of artificial intelligence. It is known that about 90% of the information utilized by natural intelligence is based on location. As the artificial intelligence society progresses, it will be evident that the location data are emerging as a necessity in an area of both indoor and outdoor. This is due to the fact that CPS (Cyber-Physical Systems) such as drones possess unique characteristics in being dynamic, easy-to-deploy, easy-to-reprogram during run-time, capable of measuring anything at any location and capable of flying anywhere with a high degree of autonomy. The underlying principle in data acquisition for CPS systems is to select location sensor suitable for operational application based on customer requirements and intended information such as teaching AI (Artificial Intelligence). Together with the expansion of the cyber-physical system across the various sectors of society, sensor society is expected to emerge. The vital aspects of the coming sensor society are characterized by the followings: the increasing distribution of collaborative networked sensors; the consequential explosion of sensor-generated data; and predictive analytical infrastructure devoted to making sense of sensor-derived data [1]. The prerequisite for sensor society is to secure accurate position information for collaborative networked sensors since knowing the location performs a role as fundamental infrastructure for maintaining routine life of a common human in this sensor society. In this regard, the purpose of this chapter is to introduce the location sensor and to provide a background for the navigation technology, progressing from manual navigation to indoor localization. This chapter will give you some basics about how to determine the location by GNSS (Global Navigation Satellite Systems) and how INS (Inertial Navigation System) works in relation to GNSS.


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  • Jung-Sup Um
    • 1
  1. 1.Department of GeographyKyungpook National UniversityDaeguKorea (Republic of)

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