Title :
Tracking extended targets in high clutter using a GGIW-LMB filter
Author :
Stephan Reuter;Michael Beardy;Karl Granstromz;Klaus Dietmayer
Author_Institution :
Institute of Measurement, Control, and Microtechnology, Ulm University, Ulm, Germany
fDate :
10/1/2015 12:00:00 AM
Abstract :
Due to increasing sensor resolutions, the commonly used point-target assumption in multi-object tracking algorithms is violated. Recently, several algorithm based on Gaussian inverse Wishart (GIW) or Gamma GIW (GGIW) distributions have been proposed which facilitate the tracking of so-called extended targets which generate multiple measurements per scan. Using GGIW distributions, the target extent and the measurement rate are estimated in addition to the targets´ kinematics. In this contribution, the GGIW Labeled Multi-Bernoulli (GGIW-LMB) filter is applied to a scenario with a huge amount of clutter measurements. Additionally, three different target birth models are compared for different clutter rates: static birth distributions, adaptive birth distributions, and adaptive two-step distributions.
Keywords :
"Target tracking","Clutter","Radar tracking","Yttrium","Approximation methods","Computational modeling","Graphical models"
Conference_Titel :
Sensor Data Fusion: Trends, Solutions, Applications (SDF), 2015
DOI :
10.1109/SDF.2015.7347710