Self-Calibration of Angular Position Sensors by Signal Flow Networks

Self-Calibration of Central Cameras by Minimizing Angular Error

Self-Calibration of Sensor Networks

We consider the problem of locating and orienting a network of unattended sensors that has been deployed in a scene with unknown sensor locations and orientation angles, when no “anchor” nodes are present. Many localization problems assume that some nodes have known locations and propagate location information about other nodes using triangulation procedures. In our formulation, we do not requi...

Kinematic calibration and pose measurement of a medical parallel manipulator by optical position sensors

In the applications of parallel manipulators, kinematic calibration is required to eliminate the errors resulting from the manufacturing and assembly of both base and tools. In this paper, a calibration method of base and tool transformation is developed by virtue of optical position sensors. An error model for calibration is constructed using differential geometry method. The pose error is obt...

Self calibration of Stewart-Gough parallel robots without extra sensors

This paper presents a method for the autonomous calibration of six degrees-of-freedom parallel robots. The calibration makes use of the motorized prismatic joint positions corresponding to some sets of configurations where in each set either a passive Universal joint or a passive Spherical joint is fixed using a lock mechanism. Simulations give us an idea about the number of sets that must be u...

Self-calibration of Central Cameras from Point Correspondences by Minimizing Angular Error

This paper proposes a generic self-calibration method for central cameras. The method requires two-view point correspondences and estimates both the internal and external camera parameters by minimizing angular error. In the minimization, we use a generic camera model which is suitable for central cameras with different kinds of radial distortion models. The proposed method can be hence applied...