Due to its widespread application in the robotics field, the Kalman filter has received
increased attention from researchers. This work reviews some of the modifications …

This review paper presents an overview of depth cameras. Our goal is to describe the
features and capabilities of the introduced depth sensors in order to determine their …

Technological developments over the past two decades have resulted in the development of
more accurate and lightweight low-cost magnetic and inertial measurement units (MIMUs) …

Inertial measurement units (IMUs) are increasingly utilized as motion capture devices in
human movement studies. Given their high portability, IMUs can be deployed in any …

Attitude estimation is the process of computing the orientation angles of an object with
respect to a fixed frame of reference. Gyroscope, accelerometer, and magnetometer are …

The orientation information is critical for the mobile robot. However, the robot's constrained
locomotion, complicated magnetic field environment, and the coupled orientation estimation …

This editorial provides a concise introduction to the methods and applications of inertial
sensors. We briefly describe the main characteristics of inertial sensors and highlight the …

This article proposes two novel covariance-tuning methods to form a robust Kalman filter
(RKF) algorithm for attitude (ie, roll and pitch) estimation using the measurements of only an …

A new predictor–corrector filter for attitude and heading reference systems (AHRS) using
data from an orthogonal sensor combination of three accelerometers, three magnetometers …

The utilization of stereo cameras in robotic applications is presented in this paper. The use
of a stereo depth sensor is a principal step in robotics applications, since it is the first step in …