Simulation based sensor system assessment - Final report

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). In the SIMSENS' project various simulation models for terrain, objects and sensor, have been improved to make this possible. This report describes the simulation program that has developed in the project during 2008-2010. In order to perform accurate simulation of sensor systems in various envi-ronments high quality models of the terrain are required. In MSSLab sensor systems can now be simulated in the terrain models: Kvarn, Norrköping and Afghanistan. A very important work has been to develop an automated methodology for automatic material classification of terrain models. The developed methodology is using hyperspectral data for material classifica-tion. An Afghanistan model has been developed to enable simulation of sen-sors in an international environment. This model includes a typical urban environment and a military camp. In a sensor simulation it is also very important that the models of the objects are of high quality. A 3D model library of various objects and people has therefore been further developed. To make it possible to simulate sensor data with animated persons, HLAS (High Level Animation System) has been developed in the project. In this framework, it is now easy to add dif-ferent behaviors of the animated people. Extensive work has been done to further develop and integrate the various sensor models to MSSLab. Sensor models for acoustic, infrared, laser and radar systems have been further developed within the project. A scenario has been simulated with the new simulation models to study the sensor per-formance on a system level in an urban environment. The scenario that was studied consists of three UAV systems that are equipped with an infrared sensor, a 3D laser and a visual sensor respectively. Sound propagation from a UAV system has also been simulated, in order to study the acoustic detec-tion distance. Performance for detection, tracking, reidentification and sen-sor control has been studied for this scenario.