Refine
Year of publication
- 2019 (71) (remove)
Document Type
- Conference Proceeding (71) (remove)
Language
- English (60)
- German (10)
- Multiple languages (1)
Keywords
- AAL (1)
- Abrasive grain material (1)
- Academic german (1)
- Activity monitoring (1)
- Actuators (1)
- Ambient assisted living (1)
- Analyse (1)
- Artificial Neural Network (1)
- Artificial Neural Networks (1)
- Atmung (1)
Institute
- Fakultät Bauingenieurwesen (4)
- Fakultät Elektrotechnik und Informationstechnik (6)
- Fakultät Informatik (8)
- Fakultät Maschinenbau (3)
- Institut für Angewandte Forschung - IAF (5)
- Institut für Optische Systeme - IOS (1)
- Institut für Strategische Innovation und Technologiemanagement - IST (4)
- Institut für Systemdynamik - ISD (11)
- Institut für Werkstoffsystemtechnik Konstanz - WIK (4)
- Institut für Werkstoffsystemtechnik Thurgau - WITg (8)
This paper presents the integration of a spline based extension model into a probability hypothesis density (PHD) filter for extended targets. Using this filter the position and extension of each object as well as the number of present objects can jointly be estimated. Therefore, the spline extension model and the PHD filter are addressed and merged in a Gaussian mixture (GM) implementation. Simulation results using artificial laser measurements are used to evaluate the performance of the presented filter. Finally, the results are illustrated and discussed.