Multimodal Algorithm Based on Particle Filter for Indoor Localization with Smartphones
Rui Tao, Haiyong Luo, Fang Zhao, Yongzhong Li
Available Online January 2014.
- https://doi.org/10.2991/ccit-14.2014.38How to use a DOI?
- Smartphone, Dead reckoning, Particle filter, DTW, Magnetic
- Location-based service is one of the most important demand in ubiquitous computing scenarios. While build-in sensors on smartphones can be used to provide location information for terminals. This paper presents a particle filter, dead reckoning, WIFI based multimodal algorithm for indoor localization with smartphones, and propose a system so called ICTIPS. ICTIPS make use of WIFI signal strength measurements, accelerometer, magnetometer and gyroscope on smartphones, as well as map information, offering high tracking accuracy and efficiency. In particular, we compare different weight update strategies for particle filter framework and similarity functions for magnetic matching progress to understand the impact on accuracy and efficiency of the positioning system. In our real office environment, ICTIPS is evaluated with high quality ground truth, which provide service with an average tracking error around 2 meters.
- Open Access
- This is an open access article distributed under the CC BY-NC license.
Cite this article
TY - CONF AU - Rui Tao AU - Haiyong Luo AU - Fang Zhao AU - Yongzhong Li PY - 2014/01 DA - 2014/01 TI - Multimodal Algorithm Based on Particle Filter for Indoor Localization with Smartphones BT - 2014 International Conference on Computer, Communications and Information Technology (CCIT 2014) PB - Atlantis Press SN - 1951-6851 UR - https://doi.org/10.2991/ccit-14.2014.38 DO - https://doi.org/10.2991/ccit-14.2014.38 ID - Tao2014/01 ER -