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A piaci előrejelzés módszereinek bemutatása és fejlesztése egy konkrét vállalati példán keresztül
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A nosztalgia hatása a fogyasztói társadalom kulturális fejlődésére és az érzelemközpontú fogyasztás
No full textDevelopment of an evasive maneuver assist system for collision avoidance involving vulnerable road users
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Smartphone Based Indoor Localization and Navigation System for Non-GPS Environment
No full textIn this paper, we describe about developing a unique high-precision indoor localization and position recognition algorithm and a related system for non-GPS environment. In recent years, the digital technologies are evolving in a rapid way. Along with the evolving technologies, mobile devices such as smartphones and smart devices are equipped with a GPS function as standard, making it easy to localize the device position in the outdoor environment where the satellite data can be detected easily. Therefore, it is natural for people to use map applications on their smartphones to search for routes from their current location to their destination. Even in the civil construction sites, where GPS data can be obtained easily the automation technologies have been in practice but still is a big problem for the area where satellite positioning or GPS data cannot be used such as indoor environment, undergrounds, tunnels etc. which results in the delay of implementing the location-based technologies inside the construction sites. Moreover, in the indoor environment, several technologies like wireless communication technologies using Wi-Fi, Beacon, UWB, marker-based image recognition technologies, Lidar based image scanning technologies are being used for determining the indoor positioning and localization. Even these technologies are in practice, it is quite a challenging task to implement these systems in the construction sites because of the costs, efforts on installation and setting of the device environment. Therefore, we developed a unique high-precision stand-alone smartphone based indoor localization and position recognition algorithm that uses the smartphone's camera and sensor with the aim to implement in the indoor environment of the construction sites. We experimented our system in the construction sites and were able to achieve the highly accurate results. Finally, we will provide an overview of an indoor navigation system that uses the developed algorithm and report the results of its application to indoor autonomous flight of a drone as an example of its applicatio
