Hybrid indoor pedestrian navigation combining an INS and a spatial non-uniform UWB-network

The importance of location based services (LBS) is steadily increasing with progressive automation and interconnectedness of systems and processes. However, a comprehensive localization and navigation solution is still part of research. Especially for dynamic and harsh indoor environments, accurate and affordable localization and navigation remains a challenge. In this paper, we present a hybrid localization system providing position information and navigation aid to pedestrian in dynamic indoor environments, like construction sites, by combining an IMU and a spatial non-uniform UWB-network. The key contribution of this paper is a hybrid localization concept and experimental results, demonstrating in an application near scenario the enhancements introduced by the combination of an inertial navigation system (INS) and a spatial non-uniform UWB-network.

[1]  G. Lachapelle,et al.  Use of magnetic quasi static field (QSF) updates for pedestrian navigation , 2012, Proceedings of the 2012 IEEE/ION Position, Location and Navigation Symposium.

[2]  Fredrik Gustafsson,et al.  Pose estimation using monocular vision and inertial sensors aided with ultra wide band , 2015, 2015 International Conference on Indoor Positioning and Indoor Navigation (IPIN).

[3]  Yiannos Manoli,et al.  Pedestrian Indoor Localization Using Foot Mounted Inertial Sensors in Combination with a Magnetometer, a Barometer and RFID , 2013, Progress in Location-Based Services.

[4]  Fernando Seco Granja,et al.  Indoor pedestrian navigation using an INS/EKF framework for yaw drift reduction and a foot-mounted IMU , 2010, 2010 7th Workshop on Positioning, Navigation and Communication.

[5]  Lukasz Niestoruk,et al.  Navigation for Occupational Safety in Harsh Industrial Environments , 2014, Smart SysTech 2014; European Conference on Smart Objects, Systems and Technologies.

[6]  Mohammed Khider,et al.  Simultaneous Localization and Mapping for pedestrians using distortions of the local magnetic field intensity in large indoor environments , 2013, International Conference on Indoor Positioning and Indoor Navigation.

[7]  Thomas B. Schön,et al.  Indoor Positioning Using Ultrawideband and Inertial Measurements , 2015, IEEE Transactions on Vehicular Technology.

[8]  Emanuele Goldoni,et al.  Low Complexity Indoor Localization in Wireless Sensor Networks by UWB and Inertial Data Fusion , 2013, ArXiv.

[9]  Alessio De Angelis,et al.  A constraint approach for UWB and PDR fusion , 2012, 2012 International Conference on Indoor Positioning and Indoor Navigation (IPIN).

[10]  A. Fink,et al.  RSSI-based localization in functional safety applications of industrial automation , 2009, 2009 IEEE International Workshop on Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications.

[11]  Wilhelm Stork,et al.  Design of an embedded UWB hardware platform for navigation in GPS denied environments , 2015, 2015 IEEE Symposium on Communications and Vehicular Technology in the Benelux (SCVT).

[12]  Santiago Mazuelas,et al.  Pedestrian navigation in harsh environments using wireless and inertial measurements , 2013, 2013 10th Workshop on Positioning, Navigation and Communication (WPNC).

[13]  Federica Pascucci,et al.  Indoor positioning system using walking pattern classification , 2014, 22nd Mediterranean Conference on Control and Automation.

[14]  Fernando Seco Granja,et al.  Improved Heuristic Drift Elimination (iHDE) for pedestrian navigation in complex buildings , 2011, 2011 International Conference on Indoor Positioning and Indoor Navigation.

[15]  Thomas Zwick,et al.  Integrity monitoring for UWB/INS tightly coupled pedestrian indoor scenarios , 2011, 2011 International Conference on Indoor Positioning and Indoor Navigation.