Integration of 3D Trajectory Maps into a Local Distribution Map of Radiation Dose Using Unmanned Aerial Vehicle
Environmental situation awareness in this study focuses on monitoring techniques to discover public safety and potential risks at local spots. Changing amount of radiation dose recently has become a great concern by citizen near nuclear power plants. Observation approach to resolution of the concern in this study is the application of Unmanned Aerial Vehicle equipped with a situation monitor in order for covering observation points at the local spots which cannot be accessed by walking or wheeled vehicle. This paper presents an ontology based map integration process that merges 3D trajectory maps into a local distribution map in Google earth. 3D to 2D projection is introduced to visualize changes in spatial situation at ground level by calculation of radiation dose based on distance decay.
This paper is devoted to the general problem of reconstructing the cost from the observation of trajectories, in a problem of optimal control. It is motivated by the following applied problem, concerning HALE drones: one would like them to decide by themselves for their trajectories, and to behave at least as a good human pilot. This applied question is very similar to the problem of determining what is minimized in human locomotion. These starting points are the reasons for the particular classes of control systems and of costs under consideration. To summarize, our conclusion is that in general, inside these classes, three experiments visiting the same values of the control are needed to reconstruct the cost, and two experiments are in general not enough. The method is constructive. The proof of these results is mostly based upon the Thom's transversality theory.