Calibration of line-scan cameras for precision measurement should have large calibration volume and be flexible in the actual measurement field. In this paper, we present a high-precision calibration method. Instead of using a large 3D pattern, we use a small planar pattern and a precalibrated matrix camera to obtain plenty of points with a suitable distribution, which would ensure the precision of the calibration results. The matrix camera removes the necessity of precise adjustment and movement and links the line-scan camera to the world easily, both of which enhance flexibility in the measurement field. The method has been verified by experiments. The experimental results demonstrated that the proposed method gives a practical solution to calibrate line scan cameras for precision measurement.

The concave-cube FePt nanoparticles (NPs) with shape-anisotropy and element-distribution-anisotropy were annealed under a high magnetic field (HMF).

Large-scale measurement plays an increasingly important role in intelligent manufacturing. However, existing instruments have problems with immersive experiences. In this paper, an immersive positioning and measuring method based on augmented reality is introduced. An inside-out vision measurement approach using a multi-camera rig with non-overlapping views is presented for dynamic six-degree-of-freedom measurement. By using active LED markers, a flexible and robust solution is delivered to deal with complex manufacturing sites. The space resection adjustment principle is addressed and measurement errors are simulated. The improved Nearest Neighbor method is employed for feature correspondence. The proposed tracking method is verified by experiments and results with good performance are obtained.

Indoor localization is a key enabling technology for mobile robot navigation in industrial manufacturing. As a distributed metrology system based on multi-station intersection measurement, the workshop measurement positioning system (wMPS) is gaining increasing attention in mobile robot localization. In this paper, a new, to the best of our knowledge, wMPS-based resection localization method is proposed using a single onmidirectional transmitter mounted on a mobile robot with scanning photoelectric receivers distributed in the work space. Compared to the traditional method that requires multiple stationary transmitters, our new method provides higher flexibility and cost-effectiveness. The position and orientation of the mobile robot are then iteratively optimized with respect to the constraint equations. In order to obtain the optimal solution rapidly, two methods of initial value determination are presented for different numbers of effective receivers. The propagation of the localization uncertainty is also investigated using Monte-Carlo simulations. Moreover, two experiments of automated guided vehicle localization are conducted, and the results demonstrate the high accuracy of the proposed method.

Low-energy scattering of D * andD 1 meson are studied using quenched lattice QCD with improved lattice actions on anisotropic lattices. The calculation is performed within Lüscher's finitesize formalism which establishes the relation between the scattering phase in the infinite volume and the exact energy level in the finite volume. We obtain the scattering length a 0 = 2.52(47)fm and the effective range r 0 = 0.7(1)fm in J P = 0 − channel. Based on these results, it is argued that, albeit the interaction between the two charmed mesons being attractive, it is unlikely that they can form a shallow bound state in this channel. This calculation provides some useful information on the nature of the newly discovered resonance-like structure Z + (4430) by the Belle Collaboration. The XXVII International Symposium on Lattice Field Theory