A spatial orientation and information system for indoor spatial awareness

Rongxing Li, Boris Skopljak, Shaojun He, Pingbo Tang, Alper Yilmaz, Jinwei Jiang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

Timely and precision indoor spatial awareness is critical for a variety of facility management and building emergency response scenarios, such as facility manager navigation for regular building system maintenance, and firefighter navigation. Since indoor environments do not have GPS coverage and many indoor spaces have similar appearances, people under stress tend to lose their spatial awareness and have difficulty in analyzing their surroundings for completion of their tasks or finding a safe-haven. State-of-art indoor navigation solutions collectively use the magnetic field of the Earth, or deploy a wireless sensor network serving as spatial reference framework to achieve high precision localization. The magnetic field based approaches have decreased performance in areas with objects having strong magnetic fields, while the wireless sensor-network based approaches involve substantial investments into the wireless infrastructure. Moreover, complex indoor environments usually cause complicated interactions between the wireless sensors and the indoor objects, which pose additional technical challenges. The research presented in this paper explores an indoor navigation solution composed of passive sensors and uniquely integrates data acquired from an Inertial Measurement Unit (IMU), a camera system (vision sensor), and a step sensor for precision tracking of the trajectory of a user. Contrary to other methods, the proposed system does not rely on magnetic field sensing and a wireless sensor networks. The developed algorithms exploit the IMU signals for localization, the vision sensors for heading estimation and the step sensor for detecting stationary phases of the foot based. An Extended Kalman Filter (EKF) integrates this information and achieves disclosure error of 5% of tracking accuracy on average. Preliminary experimental results show the potential of this approach in urban setting.

Original languageEnglish (US)
Title of host publicationISA 2010 - Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness
Pages10-15
Number of pages6
DOIs
StatePublished - Dec 1 2010
Event2nd International Workshop on Indoor Spatial Awareness, ISA 2010, in Conjunction with the 18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2010 - San Jose, CA, United States
Duration: Nov 2 2010Nov 2 2010

Publication series

NameISA 2010 - Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness

Other

Other2nd International Workshop on Indoor Spatial Awareness, ISA 2010, in Conjunction with the 18th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, ACM SIGSPATIAL GIS 2010
CountryUnited States
CitySan Jose, CA
Period11/2/1011/2/10

Keywords

  • Extended kalman filter
  • Information system
  • Navigation
  • Sensor network
  • Spatial disorientation

ASJC Scopus subject areas

  • Computer Graphics and Computer-Aided Design
  • Human-Computer Interaction

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  • Cite this

    Li, R., Skopljak, B., He, S., Tang, P., Yilmaz, A., & Jiang, J. (2010). A spatial orientation and information system for indoor spatial awareness. In ISA 2010 - Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness (pp. 10-15). (ISA 2010 - Proceedings of the 2nd ACM SIGSPATIAL International Workshop on Indoor Spatial Awareness). https://doi.org/10.1145/1865885.1865889