As various inertial measurement units (IMUs) from different manufacturers appear every year, it is not affordable to evaluate every IMU through tests. Therefore, this paper presents an IMU evaluation method by grafting data from the tested IMU to the reference data from a higher-grade IMU. The signal grafting (SG) method has several benefits: (a) only one set of field tests with a higher-grade ...

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 ...

Omnidirectional cameras are versatile sensors that are able to provide a full 360-degree view of the environment. When combined with inertial sensing, omnidirectional vision offers a potentially robust navigation solution. However, to correctly fuse the data from an omnidirectional camera and an inertial measurement unit (IMU) into a single navigation frame, the 6-DOF transform between the sens...

This study examined the reliability and validity of an inertial measurement unit (IMU) for measuring orientation angle. An IMU was mounted onto a goniometer and moved through 0-90° with data collected at 10° increments. The process was repeated 10 times for all 3 axes. Reliability was measured via a typical error (TE) analysis from the 10 repeated trials. Validity was determined via a Pearson c...

This paper deals with the diagnostic design of an Inertial Measurement Unit (IMU). IMU are widely used for system positioning. Their goal is to sense the attitude (or orientation) of a rigid body on which the IMU is embedded. In this paper, the sensors used in the IMU are a tri-axis accelerometer, a tri-axis magnetometer and 3 rate gyros. The diagnostic method proposed in this paper is independ...

Abstract: This paper proposes a method for combining stereo visual odometry, Light Detection And Ranging (LiDAR) odometry and reduced Inertial Measurement Unit (IMU) including two horizontal accelerometers and one vertical gyro. The proposed method starts with stereo visual odometry to estimate six Degree of Freedom (DoF) ego motion to register the point clouds from previous epoch to the curren...

The determination of image orientation parameters of any sensor during data acquisition became possible by combined use of an inertial measurement system (IMU) and GPS. In this integrated system, GPS antenna, IMU and imaging sensor are located different position in airborne carrier. Because of this reason, the displacement vectors between sensors have to be determined. Similarly, axes of the IM...

In this paper, authors proposed a practical motion estimation strategy to obtain the single static object position and the vehicle’s motion parameters simultaneously by utilizing camera and IMU (Inertial Measurement Unit), and tried several classic nonlinear parameters estimation methods on this problem based on the Matlab simulation. A lot of preliminary calibration experiments have been done ...

Micro-electro-mechanical-systems (MEMS) inertial measurement unit (IMU) outputs are corrupted by significant sensor errors. The navigation errors of a MEMS-based inertial navigation system will therefore accumulate very quickly over time. This requires aiding from other sensors such as Global Navigation Satellite Systems (GNSS). However, it will still remain a significant challenge in the prese...