Simulation based sensor system assessment - Annual report 2009
Publish date: 2009-12-31
Report number: FOI-R--2890--SE
Pages: 43
Written in: Swedish
Keywords:
- Simulation
- assessment
- IR
- laser
- radar
- MSSLab
Abstract
The task for the SIMSENS' project (Simulation based sensor system assessment) 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 accurate simulation models are needed. During this year the SIMSENS'project has improved models for terrain, object and sensor. This report describes the work that has been performed in the project during 2009. A lot of work has been performed to improve the Norrköping model and populate it with people and vehicles. Several building textures have been developed and applied to the model. The resolution of the ground texture has been increased from 0.7m to 0.3m. The new tree models have been applied with LOD (level of detail) and modelled using hybrid trees at close range and billboard trees at long range. To make it possible to simulate sensor data with animated persons, HLAS (High Level Animation System) has been further developed. A scenario editor has been developed that simplifies the creation of scenarios with animated persons. About 25 persons together with animals and vehicles are prepared to be used in the development of scenarios. These can of course be increased with new characters. During this year the 3D laser federate have been updated and integrated to MSSLab. SceneServer has been further developed by improving lightening and shadows to get realistic visual simulations. Simulations have been made with the new simulation models to study sensor performance in an urban environment. The scenarios that have been studied consist of two UAV systems equipped with a visual sensor and a laser system respectively. Performance for detection, tracking, reidentification, sensor control has been studied for this scenario.