Back to search

Article

Pose estimation by extended Kalman filter using noise covariance matrices based on sensor output

2020-09-14

Abstract excerpt

<title>Abstract</title> <p>This paper presents an extended Kalman filter for pose estimation using noise covariance matrices based on sensor output. Compact and lightweight nine-axis motion sensors are used for motion analysis in widely various fields such as medical welfare and sports. A nine-axis motion sensor includes a three-axis gyroscope, a three-axis accelerometer, and a three-axis magnetometer. Informatio...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
08d022b0-0089-5c98-87f5-797dd4db9361
DOI
10.21203/rs.3.rs-29523/v2
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
Pose estimation by extended Kalman filter using noise covariance matrices based on sensor outputDOI 10.21203/rs.3.rs-29523/v2
Select a neighboring publication to make it the new centre.