BACKGROUND Inertial measurement unit (IMU) sensor-based techniques are becoming more popular in horses as a tool for objective locomotor assessment. OBJECTIVES To describe, evaluate and validate a method of stride detection and quantification at walk and trot using distal limb mounted IMU sensors. STUDY DESIGN Prospective validation study comparing IMU sensors and motion capture with force ...

We consider the problem of carrier-phase differential GPS positioning for an land vehicle navigation system (LVNS), tightly coupled with an inertial measurement unit (IMU) and a speedometer. The primary focus is to apply Bayesian network to an IMU-aided GPS positioning system based on carrierphase differential GPS. We describe the implementation details of the positioning system that integrates...

Pedestrian navigation especially indoors suffers from the unavailability of useful GNSS signals for positioning. Alternatively, a low-cost Inertial Measurement Unit (IMU) positioning system that does not depend on the GNSS signal can be used for indoor navigation. However its performance is still compromised because of the fastaccumulating heading drift error affecting such a low-cost IMU senso...

GPS-aided MEMS-based inertial navigation systems is a topic of intense interest. In this paper a MEMS-IMU/GPS integrated system based on the PC104 platform is implemented and the time synchronization solution is discussed. Because of the analogue constant voltage outputs of the MEMS-IMU in the process of calibration, a method of testing the accuracy of time synchronization was developed. Some e...

Three dimension data are in great demand for the various applications such as 3D GIS, navigation, digital archive, simulation, computer games, and so on. In order to represent space in details, it is indispensable to acquire 3D shape and texture together. However, there still lacks a reliable, quick, and handy method of acquiring three dimension data at higher resolution. In this research, we p...

This project work presents the sensor fusion of Global Positioning System (GPS), Inertial Measurement Unit (IMU) and Odometry data from wheel encoders which is used to estimate localization of mobile robot. GPS, IMU, Wheel encoders are interfaced with MBED. Filters are used to remove erroneous noise from the data obtained from sensors. Low pass IIR filter is used for Differential Global Positio...

This paper proposes an integration of ‘building heading’ information with ZUPT in a Kalman filter, using a shoe mounted IMU approach. This is done to reduce heading drift error, which remains a major problem in a standalone shoe mounted pedestrian navigation system. The standalone system used in this paper consists of only single low cost MEMS IMU that contains 3-axis accelerometers and gyros. ...