Gabriel GirardStéphane CôtéSisi ZlatanovaYannick BaretteJohanne St-PierrePeter van Oosterom
Many solutions have been proposed for indoor pedestrian navigation. Some rely on pre-installed sensor networks, which offer good accuracy but are limited to areas that have been prepared for that purpose, thus requiring an expensive and possibly time-consuming process. Such methods are therefore inappropriate for navigation in emergency situations since the power supply may be disturbed. Other types of solutions track the user without requiring a prepared environment. However, they may have low accuracy. Offline tracking has been proposed to increase accuracy, however this prevents users from knowing their position in real time. This paper describes a real time indoor navigation system that does not require prepared building environments and provides tracking accuracy superior to previously described tracking methods. The system uses a combination of four techniques: foot-mounted IMU (Inertial Motion Unit), ultrasonic ranging, particle filtering and model-based navigation. The very purpose of the project is to combine these four well-known techniques in a novel way to provide better indoor tracking results for pedestrians.
Christopher I. LangSusanna Kaiser
Xianchao ZhengHui YangWeiwei TangShuxiang PuLingxiang ZhengHuiru ZhengBruce LiaoJolly Wang
Shengkai LiuTingli SuBinbin WangShiyu PengXuebo JinYuting BaiChao Dou
Yuting BaiChao DouBinbin WangShiyu PengXuebo JinTingli SuShengkai Liu
Khairi AbdulrahimChris HideTerry MooreChris Hill