Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 2007 · 74 citations · 13 references
EngineeringMechatronics EngineeringRobotics EngineeringAssistive TechnologyGlobal Navigation Satellite SystemsMobile RoboticsGait AnalysisMotion CaptureMotion SensorsNavigation SystemsRobot LocalizationTracking SystemsBias Drift AnalysisDead ReckoningInertial Measurement Unit (Imu) SensingInertial NavigationInertial SensingLocalization In Gps-denied EnvironmentsNavigation In Gps-denied EnvironmentsZero-velocity Updating
This paper introduces a positioning system for walking persons, called "Personal Dead-reckoning" (PDR) system. The PDR system does not require GPS, beacons, or landmarks. The system is therefore useful in GPS-denied environments, such as inside buildings, tunnels, or dense forests. Potential users of the system are military and security personnel as well as emergency responders. The PDR system uses a small 6-DOF inertial measurement unit (IMU) attached to the user's boot. The IMU provides rate-of-rotation and acceleration measurements that are used in real-time to estimate the location of the user relative to a known starting point. In order to reduce the most significant errors of this IMU-based system−caused by the bias drift of the accelerometers−we implemented a technique known as "Zero Velocity Update" (ZUPT). With the ZUPT technique and related signal processing algorithms, typical errors of our system are about 2% of distance traveled. This typical PDR system error is largely independent of the gait or speed of the user. When walking continuously for several minutes, the error increases gradually beyond 2%. The PDR system works in both 2-dimensional (2-D) and 3-D environments, although errors in Z-direction are usually larger than 2% of distance traveled. Earlier versions of our system used an impractically large IMU. In the most recent version we implemented a much smaller IMU. This paper discussed specific problems of this small IMU, our measures for eliminating these problems, and our first experimental results with the small IMU under different conditions.
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MEMS Based Pedestrian Navigation System
Seong Yun Cho, Chan Gook Park · Journal of Navigation · 2005 · 171 citations
Engineering, Mechanical Engineering, Mechatronics Engineering +15
Vision SLAM in the Measurement Subspace
John Folkesson, Patric Jensfelt, Henrik I. Christensen · 2006 · 93 citations · Full text