Fusion of WiFi, smartphone sensors and landmarks using the Kalman filter for indoor localization

• Main Authors: Chen, Zhenghua, Zou, Han, Jiang, Hao, Zhu, Qingchang, Soh, Yeng, Xie, Lihua
• Other Authors: School of Electrical and Electronic Engineering
• Format: Article
• Language: English
• Published: 2015
• Subjects: DRNTU::Engineering::Electrical and electronic engineering::Wireless communication systems
• Online Access: https://hdl.handle.net/10356/104748; http://hdl.handle.net/10220/24671
• Institution: Nanyang Technological University

Location-based services (LBS) have attracted a great deal of attention recently. Outdoor localization can be solved by the GPS technique, but how to accurately and efficiently localize pedestrians in indoor environments is still a challenging problem. Recent techniques based on WiFi or pedestrian de...