LSTM-based zero-velocity detection for robust inertial navigation
B Wagstaff, J Kelly - 2018 International Conference on Indoor …, 2018 - ieeexplore.ieee.org
We present a method to improve the accuracy of a zero-velocity-aided inertial navigation
system (INS) by replacing the standard zero-velocity detector with a long short-term memory …
system (INS) by replacing the standard zero-velocity detector with a long short-term memory …
Error analysis of ZUPT-aided pedestrian inertial navigation
Y Wang, A Chernyshoff… - … Conference on Indoor …, 2018 - ieeexplore.ieee.org
We present, for the first time, an analytical relation between the navigation errors during Zero-
Velocity-Update (ZUPT) aided pedestrian inertial navigation and Inertial Measurement Unit …
Velocity-Update (ZUPT) aided pedestrian inertial navigation and Inertial Measurement Unit …
Study on estimation errors in ZUPT-aided pedestrian inertial navigation due to IMU noises
Y Wang, A Chernyshoff… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
We present a study on the effects of the inertial measurement unit (IMU) noises on the
navigation solution uncertainty during zero-velocity-update (ZUPT)-aided pedestrian inertial …
navigation solution uncertainty during zero-velocity-update (ZUPT)-aided pedestrian inertial …
Attitude measurement for high-spinning projectile with a hollow MEMS IMU consisting of multiple accelerometers and gyros
F Liu, Z Su, H Zhao, Q Li, C Li - Sensors, 2019 - mdpi.com
A low cost, high precision hollow structure MEMS IMU has been developed to measure the
roll angular rate of a high-spinning projectile. The hollow MEMS IMU is realized by …
roll angular rate of a high-spinning projectile. The hollow MEMS IMU is realized by …
AE-CNN-based multisource data fusion for gait motion step length estimation
Step length estimation is essential for people to overcome different types of environmental
obstacles in daily life. Aiming at the problem of low estimation accuracy based solely on …
obstacles in daily life. Aiming at the problem of low estimation accuracy based solely on …
Adaptive 3D position estimation of pedestrians by wearing one ankle sensor
Without the assistance of Global Positioning System (GPS), estimating the 3D position of
indoor and outdoor pedestrians using a single wearable device is a daunting if not …
indoor and outdoor pedestrians using a single wearable device is a daunting if not …
Using step size and lower limb segment orientation from multiple low-cost wearable inertial/magnetic sensors for pedestrian navigation
This paper demonstrates the use of multiple low-cost inertial/magnetic sensors as a
pedestrian navigation system for indoor positioning. This research looks at the problem of …
pedestrian navigation system for indoor positioning. This research looks at the problem of …
Inertial sensor array processing with motion models
By arranging a large number of inertial sensors in an array and fusing their measurements, it
is possible to create inertial sensor assemblies with a high performance-to-price ratio …
is possible to create inertial sensor assemblies with a high performance-to-price ratio …
A motion capture algorithm based on inertia-Kinect sensors for lower body elements and step length estimation
Motion capture is a process that movements of living organisms like human or objects are
captured and the results are processed for the desired applications. These applications are …
captured and the results are processed for the desired applications. These applications are …
Multiple hypothesis testing approach to pedestrian INS with map-matching
Inertial sensors became wearable/portable with the advances in sensing and computing
technologies in the last two decades. Captured motion data can be used to build a …
technologies in the last two decades. Captured motion data can be used to build a …