Simulation based sensor system assessment

The task for the SIMSENS' project (Simulation based sensor system as-sessment) is to develop a modular sensor system simulation program that can simulate sensor systems in various environments, weather conditions and time periods. The simulation tool that is further developed is the MSSLab (MultiSensorSimulationLab). To get a correct sensor assessment with simulation based methods you need accurate simulation models. In this report the development and current status of these models in MSSLab are described. Simulations are made for the IR- and radar sensors in different weather cases. Used cases are fine weather, rain, clouds and snow fall. IR and visual simulations are made with CameoSim, a synthetic imagery software tool. The atmospheric data used in CameoSim are calculated in MODTRAN, in which the atmospheric transmission for the different weather cases can be calculated. Radar simulations are made with the software tool SE-RAY-EM. Comple-mentary functions are added to this software to take care of attenuation and scattering for the different weather cases. To improve the Norrköping-model, methods are developed to automatically extract and texturize buildings emanating from data about building surfaces and unrectified aerial pictures. These methods are then used to automatically reconstruct buildings in the Norrköping-model. To make it possible to simulate sensor data with animated persons, HLAS (High Level Animation System) has been developed. With HLAS the inte-gration of animated sequences in different simulation frameworks is made easier. With HLAS it is now possible to handle animation sequences on a higher abstraction level.