This paper addresses the fusion processing techniques of multi-sensor data perceived through IR sensors of the military robots for surveillance, in which they are positioned in a limited range with a close distance between each of the robots. | Journal of Automation and Control Engineering, Vol. 1, No. 2, June 2013 Fusion of Multi-Sensor Data Collected by Military Robots Sanguk Noh and Kyuseon Lee School of Computer Science and Information Engineering The Catholic University of Korea, Republic of Korea Email: {sunoh, cis}@ empirically and present the experimental results using our simulator. In conclusion, we summarize our results and discuss further research issues. Abstract—This paper addresses the fusion processing techniques of multi-sensor data perceived through IR sensors of the military robots for surveillance, in which they are positioned in a limited range with a close distance between each of the robots. To combine multi-sensor data from distributed battlefield robots, we propose a set of fusion rules to formulate the combined prediction from multi-source data expressed in degrees of reliability for the type of a target that has the mathematical properties of probabilities. We have implemented three fusion operators to compare the capabilities of their fusion processing, and have experimented them in simulated, uncertain battlefield environments. The experimental results show that the fusion of multi-sensor data from military robots can be successfully tested in randomly generated military scenarios. II. We combine multi-sensor data from distributed battlefield robots. The battlefield robots estimate the types of targets using their sensors in a given environment. After getting the sensor data, the multiple robots inform the control center of their estimations. The control center then fuses evidence multi-sensed from different military robots. A. Combined Prediction Using Fusion Rules The combined prediction given a specific target for the commander is defined as Index Terms—Military surveillance robots, Multi-sensor fusion, Techniques for fusion processing I. tk itk tjk for k=1, 2, 3, INTRODUCTION Battlefield robots for surveillance equipped with .
