Camera calibration is a crucial prerequisite in many applications of computer vision. In this
paper, a new geometry-based camera calibration technique is proposed, which resolves two …

This letter presents a novel visual feature based scene map** method for underwater
vehicle manipulator systems (UVMSs), with specific emphasis on robust map** in natural …

In this paper, we present a method to estimate a vehicle's pose and shape from off-board
multi-view images. These images are taken from monocular cameras with small overlaps …

Robotic eye-in-hand calibration is the task of determining the rigid 6-DoF pose of the camera
with respect to the robot end-effector frame. In this paper, we formulate this task as a non …

Dynamic Camera Clusters (DCCs) are multi-camera systems where one or more cameras
are mounted on actuated mechanisms such as a gimbal. Existing methods for DCC …

Dynamic camera cluster (DCC) calibration determines a time-varying set of extrinsic
calibration transformations between cameras in a multi-camera cluster, where one or more …

Visual-inertial (VI) sensor combinations are becoming ubiquitous in a variety of autonomous
driving and aerial navigation applications due to their low cost, limited power consumption …

In order to relate information across cameras in a Dynamic Camera Cluster (DCC), an
accurate time-varying set of extrinsic calibration transformations need to be determined …

Camera calibration is a crucial prerequisite in many applications of computer vision. In this
paper, a new, geometry-based camera calibration technique is proposed, which resolves …

The ability of a mobile robot to navigate reliably in an unknown environment depends on the
information perceived from its surroundings, usually available in the form of measurements …