An improvement method for the pose accuracy of a robot manipulator by using a multiple-sensor combination measuring system (MCMS) is presented. It is composed of a visual sensor, an angle sensor and a series robot. The visual sensor is utilized to measure the position of the manipulator in real time, and the angle sensor is rigidly attached to the manipulator to obtain its orientation. Due to t...

This paper proposes a heuristic method for the sensor selection problem that uses a state vector fusion approach as a data fusion method. We explain the heuristic to estimate a stationary target position. Given a first sensor with specified accuracy and by using genetic algorithm, the heuristic selects second sensor such that the fusion of two sensor measurements would yield an optimal estimati...

In sensing applications where multiple sensors observe the same scene, fusing sensor outputs can provide improved results. However, if some of the sensors are providing lower quality outputs, e.g. when one or more sensors has a poor signal-tonoise ratio (SNR) and therefore provides very noisy data, the fused results can be degraded. In this work, a multi-sensor conflict measure is proposed whic...

According to the complexity of turbine on power plant, a kind of fault diagnosis method based on information fusion is proposed in this paper. Multi-sensor data is adopted and D-S evidence theory is applied, thus the uncertainty of information can be effectively overcome. Considering the data credibility of various information sources, the data fusion method is applied to the simulation experim...

The problem of factors influencing the sensors in a mine gas monitoring system cannot be solved by a single sensor itself. The multi-sensor information fusion technique was put forward to increase the system’s information utilance, precision, dependability and error tolerance. Based on the information source that the mine gas monitoring system has collected, the system’s structure mode was defi...

The paper analyzes two important issues in the design of multi-robot systems: (i) motion planning with the use of distributed algorithms, (ii) sensor fusion with the use of Extended Kalman or Particle Filtering. First, distributed gradient for motion planning of a multi-robot system is examined. The dynamic model of the multi-robot system is derived and its convergence to the desirable position...

The role of data fusion in sensor platforms is becoming increasingly important in various domains of science, technology and business. Fusion pertains to the merging or integration of information towards an enhanced level of awareness. This thesis provides a canonical overview of several major fusion architectures developed from the remote sensing and defense community. Additionally, it provide...

Fusion of multi-sensor imaging data enables a synergetic interpretation of complementary information obtained by sensors of different spectral ranges. Multi-sensor data of diverse spectral, spatial and temporal resolutions require advanced numerical techniques for analysis and interpretation. This paper reviews ten advanced pixel based image fusion techniques – Component substitution (COS), Loc...