Recent advancements in indoor positioning systems are based on infrastructure-free solutions, aimed at improving the location accuracy in complex indoor environments without the use of specialized resources. A popular infrastructure-free solution for indoor positioning is a calibration-based positioning, commonly known as fingerprinting. Fingerprinting solutions require extensive and error-free...

This paper proposes a self-position estimate algorithm for the multiple mobile robots; each robot uses two omnidirectional cameras and an accelerometer. In recent years, the Great East Japan Earthquake and large-scale disasters have occurred frequently in Japan. From this, development of the searching robot which supports the rescue team to perform a relief activity at a large-scale disaster is...

The Beam-Position Monitors (BPM) for the PEP-II B Factory consist of four 1.5cm diameter button style pickups mounted on the diagonals of the quadrupole vacuum chambers. Before installation of the vacuum chambers in the quadrupole assemblies, the electrical center of the BPMs is measured with respect to the mechanical center in a calibration test stand. In this paper the calibrations test stand...

This paper describes a robust photogrammetric system for 3-D surface reconstruction. We use a linear camera calibration model with 14 camera parameters, which can be optimized using the leastsquares solution. To address the non-linear lens distortion, a localized calibration concept is presented whereby different image locations have different sets of calibration parameters. A new subpixel targ...

Calibration is a crucial step to obtaining three-dimensional (3-D) measurement using video camera-based stereo systems. Approaches based on epipolar geometry are particularly appealing as there is no need to know the 3-D position of the control points a priori and because the solution is found by solving a set of linear equations through matrix manipulation. Indeed, all the parameters can be de...

This paper describes theoretical and experimental results for the auto-calibration of sensor platform consisting of a camera and a laser range finder. Real-world use of autonomous sensor platforms often requires the re-calibration of sensors without an explicit calibration object. The constraints are based upon data captured simultaneously from the camera and the laser range finder while the se...

On interactive surfaces, an accurate system calibration is crucial for a precise user interaction. Today, geometric distortions are eliminated by a static calibration. However, this calibration is specific to a user’s posture, and parallax distortions occur if this changes (i.e. if the user moves or if multiple users take turns). Within this paper, we describe an approach to model automatic onl...

The design and the development of the position and orientation tracking system of a mobile robot, and the calibration of its sensor parameters (e.g., displacement, misalignment and iron distortions), are challenging and time consuming tasks in every autonomous robotics project. The ROAMFREE framework delivers turn-on-and-go multi-sensors pose tracking and self-calibration modules and it is desi...

We present a novel technique for calibrating a binocular stereo rig by using the information from both scenes and classical calibration objects. The calibration provided by the calssical methods is only valid for the space near the position of the calibration object. Our technique takes the advantage of the rigidity of the geometry between two cameras. The idea is to rst estimate precisely the ...

An improved inertial and visual sensors calibration method is proposed in this paper, which is the method of fractional step to calibrate between inertial and visual sensors. The relationship of the rotation between inertial and vision sensors can be obtain by solving the improvement of hand-eye calibration equations. The inclinometer sensor is introduced in the process of calibration and the o...