Robotic Localization and Multi-Sensor, 3D Mapping for Exploration of Subsurface Voids
UNKNOWN
Blank, Jennifer↗
Engineering topics
Palieri, Matteo
Publications and source records attributed to Palieri, Matteo.
Maximum Correntropy Kalman Filter for Orientation Estimation with Application to LiDAR Inertial Odometry
Robot navigation is a prerequisite to enable many autonomous robotic operations. Propioceptive inertial measurement units (IMUs) are widely used and commonly accepted sensing devices in robotic navigation. An IMU typically consists of two-triaxis sensors: an accelerometer and a gyroscope (gyro), measuring the accelerations (accelerated motion together with gravity) and angular velocities of the sensor, respectively. In addition, some IMUs incorporate a magnetic angular rate sensor, which is a triaxis magnetometer measuring the magnetic field of the Earth. In this work, we focus on these types of IMUs (comprised of accelerometer, gyro and magnetometer).
Agha-mohammadi, Ali-akbar↗
Maximum Correntropy Kalman Filter for Orientation Estimation with Application To LiDAR Inertial Odometry
No abstract provided
Agha-mohammadi, Ali-akbar↗