Target tracking is a major function in any sensor system measuring moving objects. The input consists of target observations. These observations originate from various kinds of sensor systems such as radar, transponder systems, TV, IR, sonar, and acoustic sensors. The result of the tracking algorithm is a surveillance picture describing the covered volume by multitude of objects and their character, such as movement and type of object. The surveillance picture is further used by the user of the system or automatic functions. In particular, the tracking algorithm plays an important role for data enhancement and compilation. This is due to the fact that sensor data never are perfect. The task is an intricate and elaborate process. The success of this process depends strongly on the used algorithms, and a good result gives more useful systems with a more accurate performance.
This project concerns analysis and development of new algorithms for target tracking in complicated environments, involving multiple targets and uncertain measurements due to partial occlusion, heavy clutter, etc. The project is a collaboration between Chalmers University of Technology, Saab Micowave Systems, and Saab Bofors Dynamics, and it is sponsored by Vinnova and Swedish industry under the program NFFP 5.
The project is a collaboration between Chalmers University of Technology, Saab Micowave Systems, and Saab Bofors Dynamics