One of the most advanced navigation technologies in recent years is called SLAM. It is a technology that maps the environment through a robot’s sensing system while exploring an unknown environment. This allows the robot to position itself and to reach its final destination through the created map. In this paper, we introduce a base technology to apply to SLAM using our new magnetic field sensing system. A magnetic field sensing systems were applied instead of visual sensors or distance sensors for the localization of robots in an indoor environment instead of a visual and distance sensors in this paper. Using surrounding magnetic field system can estimate the current global position of the robot and the direction of nearby magnetic objects. Finally, we show correct positioning of the robot through experiments using odometrical and magnetic field information in a real world learned indoor environment.
|Number of pages||8|
|Journal||CEUR Workshop Proceedings|
|Publication status||Published - 2019|
|Event||Short Paper of the 10th International Conference on Indoor Positioning and Indoor Navigation - Work-in-Progress Papers, IPIN-WiP 2019 - Pisa, Italy|
Duration: 2019 Sep 30 → 2019 Oct 3
Bibliographical noteFunding Information:
This work was supported by the Institute of BioMed-IT, Energy-IT, and Smart-IT Technology (BEST), a Brain Korea 21 plus program, Yonsei University.
© 2019 CEUR Workshop Proceedings. All rights reserved.
All Science Journal Classification (ASJC) codes
- Computer Science(all)