Abstract:
In the case of disasters such as fires, floods and earthquakes, effective and rapid rescue operations have to be carried out by first responders. Rescue operations inside...Show MoreMetadata
Abstract:
In the case of disasters such as fires, floods and earthquakes, effective and rapid rescue operations have to be carried out by first responders. Rescue operations inside of large-scale office buildings, shopping malls and public buildings are a major challenge in terms of positioning and guidance. Global navigation satellite systems (GNSS) and terrestrial radio navigation systems such as global positioning system (GPS), wireless local area network (WLAN), ultra-wideband (UWB) and radio frequency identification (RFID) are either not fully operative inside of buildings or require a costly system infrastructure. Hence, this paper deals with autonomous or self-contained and semi-autonomous positioning for pedestrians based on low-cost inertial measurement units (IMU). A novel combination of improved movement recognition or human motion analysis and magnetic field mapping for absolute repositioning is proposed. This combination allows for a low error of position and the minimization of the IMU-typically drift, respectively. Therefore in this paper several methods for human motion analysis as well as for magnetic field mapping are assessed. Furthermore a number of meaningful results are shown.
Date of Conference: 11-12 March 2010
Date Added to IEEE Xplore: 03 December 2010
ISBN Information: