Trajectory estimation refers to the task of obtaining position and orientation estimates by
fusing various sensor inputs. In kinematic map**, global navigation satellite systems …

Camera–inertial measurement unit (IMU) sensor fusion has been extensively studied in
recent decades. Numerous observability analysis and fusion schemes for motion estimation …

Continuous-time trajectory representation has recently gained popularity for tasks where the
fusion of high-frame-rate sensors and multiple unsynchronized devices is required. Lie …

Robotic practitioners generally approach the vision-based SLAM problem through discrete-
time formulations. This has the advantage of a consolidated theory and very good …

In this survey we carefully analyze the characteristics of higher order rigid body motion
interpolation methods to obtain a continuous trajectory from a discrete set of poses. We first …

Kinematic laser scanning is a widely-used surveying technique based on light detection and
ranging (LiDAR) that enables efficient data acquisition by mounting the laser scanner on a …

In recent years, more and more robots have been equipped with low-cost RGB-D sensors,
such as Microsoft Kinect and Intel Realsense, for safe navigation and active interaction with …

A calibration framework for an ultra-wideband localization system employing inertial
measurement units is presented. No external motion capture system or other sensors are …

Using multiple sensors often requires the knowledge of static transformations between those
sensors. If these transformations are unknown, hand-eye calibration is used to obtain them …

Camera calibration is an important prerequisite towards the solution of 3D computer vision
problems. Traditional methods rely on static images of a calibration pattern. This raises …