In this study, the implementation of a 6 Degree Freedom (DOF) Inertial Measurement Unit (IMU) via Kalman Filter is aimed. High accuracy IMU units have been in practical use since first space navigation practices. Today, need for IMU’s widespread among every aspect life. The sensors are mostly solid-state devices and manufactured with Micro Electromechanical System (MEMS) technologies. sensor no...

Abstract. As a strategic resource, urban underground space can be used for rail transportation, commercial streets, which has high economic and social benefits, is of great significance to sustainable city development. Due denied Global Navigation Satellite System (GNSS) signal, traditional mobile mapping systems have difficulty collecting accurate 3D point clouds in space. Thus, helmet-based l...

Application of MEMS sensor in navigation is increasingly becoming important due to its advantages in terms of the quickly improving precision, robustness, high dynamic response and lower costs of development and usage. Moreover by employing the optimal estimation technique of Kalman filtering, the performance of MEMS based INS has been greatly enhanced by the integration of GNSS. This paper foc...

Despite the ubiquitousness of GPS devices, on board inertial navigation remains important. An IMU like the Sparkfun Ultimate IMU used, contains all the necessary sensors for inertial navigation. These sensors, particularly gyroscopes, are subject to error. An algorithm combining different modalities (acceleration, rotation, and the earth’s magnetic field) to filter this error is developed. The ...

BACKGROUND Biofeedback systems that use inertial measurement units (IMUs) have been shown recently to have the ability to objectively assess exercise technique. However, there are a number of challenges in developing such systems; vast amounts of IMU exercise datasets must be collected and manually labeled for each exercise variation, and naturally occurring technique deviations may not be well...

This paper focuses on evaluating the feasibility of using a low cost Micro Electro Mechanical System (MEMS) – based Inertial Measurement Unit (IMU) integrated with Differential Global Positioning System (DGPS), for land vehicle navigation. The main focus is on position accuracy analysis using a closed loop decentralized GPS/INS integration scheme. A Kalman filter is proposed for the IMU which m...

Surf is an increasingly popular sport and its performance evaluation is often qualitative. This work aims at using a smartphone to collect and analyze the GPS and inertial sensors data in order to obtain quantitative metrics of the surfing performance. Two approaches are compared for detection of wave rides, computing the number of waves rode in a surfing session, the starting time of each wave...