Detail publikace

ARKit as indoor positioning system

Originální název

ARKit as indoor positioning system

Anglický název

ARKit as indoor positioning system

Jazyk

en

Originální abstrakt

This paper describes the possibilities of indoor space mapping and user movement tracking using augmented reality technologies. The state-of-the-art options for indoor navigation are discussed, including the one, when the sensors deployed on a regular smartphone, are utilized. One way is to use data from accelerometer, gyroscope, and magnetometer sensors. When combined with the analysis of the image from the camera, we can get a relatively accurate result of the device’s position and motion in the real world. This is what offer today’s frameworks ARKit on iOS and ARCore on Android. Technologies such as GPS are suitable to use for an outdoor environment and do not work indoor. For indoor positioning, we can use beacons, but it required additional hardware and setup. The paper discusses the possibility of their use to analyze movement in space without using other navigation technologies. Emphasis is placed on optimizing the algorithms created to track device position in space. Paper on the end mentions possible use cases to use the developed algorithm.

Anglický abstrakt

This paper describes the possibilities of indoor space mapping and user movement tracking using augmented reality technologies. The state-of-the-art options for indoor navigation are discussed, including the one, when the sensors deployed on a regular smartphone, are utilized. One way is to use data from accelerometer, gyroscope, and magnetometer sensors. When combined with the analysis of the image from the camera, we can get a relatively accurate result of the device’s position and motion in the real world. This is what offer today’s frameworks ARKit on iOS and ARCore on Android. Technologies such as GPS are suitable to use for an outdoor environment and do not work indoor. For indoor positioning, we can use beacons, but it required additional hardware and setup. The paper discusses the possibility of their use to analyze movement in space without using other navigation technologies. Emphasis is placed on optimizing the algorithms created to track device position in space. Paper on the end mentions possible use cases to use the developed algorithm.

BibTex


@inproceedings{BUT159682,
  author="Rastislav {Červenák} and Pavel {Mašek}",
  title="ARKit as indoor positioning system",
  annote="This paper describes the possibilities of indoor space mapping and user movement tracking using augmented reality technologies. The state-of-the-art options for indoor navigation are discussed, including the one, when the sensors deployed on a regular smartphone, are utilized. One way is to use data from accelerometer, gyroscope, and magnetometer sensors. When combined with the analysis of the image from the camera, we can get a relatively accurate result of the device’s position and motion in the real world. This is what offer today’s frameworks ARKit on iOS and ARCore on Android. Technologies such as GPS are suitable to use for an outdoor environment and do not work indoor. For indoor positioning, we can use beacons, but it required additional hardware and setup. The paper discusses the possibility of their use to analyze movement in space without using other navigation technologies. Emphasis is placed on optimizing the algorithms created to track device position in space. Paper on the end mentions possible use cases to use the developed algorithm.",
  booktitle="In 2019 11th International Congress on Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT)",
  chapter="159682",
  howpublished="online",
  year="2019",
  month="october",
  pages="1--5",
  type="conference paper"
}