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This paper addresses problems of large planning time and cost uncertainty for informative path planning of a mobile sensor where the location of sensor deployment is different of that of an operational area. The first problem is that the cost has no term dependent on sensor state before arriving at the operational area and it causes large planning time. The information of the state of interest dissipates...
In this paper, a new feedback cooperative guidance law(CGL) for target estimation developed in a previous study is introduced, which is derived using only one-step Fisher Information Matrix(FIM) to quantify the amount of target information through an indirect optimal approach. In fact, however, because FIM is based upon true target states, if estimated states are applied to the CGL, it is possible...
Using Fisher Information Matrix(FIM), the optimal trajectory which is generated in order to localize the specific target is obtained as optimal problem. However, it is more effective to use more vehicles with various sensor in order to gather information about target. So, since we just check how multi vehicles with various sensors by cooperative maneuver affect the trajectory in this paper. Analytical...
Using Fisher Information Matrix (FIM), the optimal trajectory to localize a specifc target is obtained as optimization problem. However, it is more effective to employ more vehicles with various sensors in order to gather suffcient information about the target. So, it is investigated how multi vehicles with different types of sensors by cooperative maneuver affect the trajectory in this paper. Clearly...
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