A Trifacacking System for Dynamic Subset Targets using Probability Hypothesis Filtering. Issue 37 (2022)
- Record Type:
- Journal Article
- Title:
- A Trifacacking System for Dynamic Subset Targets using Probability Hypothesis Filtering. Issue 37 (2022)
- Main Title:
- A Trifacacking System for Dynamic Subset Targets using Probability Hypothesis Filtering
- Authors:
- Perera, R.A. Thivanka
Phillips, Andrew
Yuan, Chengzhi
Stegagno, Paolo - Abstract:
- Abstract: In this paper we present a novel formulation of the multi-target tracking problem in which the target represents a variable shape and size subset of the state space. Due to the nonlinear nature of the system and the inherent multi-target nature of the problem, we provide a solution based on the particle implementation of the PHD filter. Testing in simulations yields promising results allowing a significant reduction of the errors with respect to measurements.
- Is Part Of:
- IFAC-PapersOnLine. Volume 55:Issue 37(2022)
- Journal:
- IFAC-PapersOnLine
- Issue:
- Volume 55:Issue 37(2022)
- Issue Display:
- Volume 55, Issue 37 (2022)
- Year:
- 2022
- Volume:
- 55
- Issue:
- 37
- Issue Sort Value:
- 2022-0055-0037-0000
- Page Start:
- 333
- Page End:
- 338
- Publication Date:
- 2022
- Subjects:
- Sensor fusion -- mobile robotics -- multi-target tracking
Automatic control -- Periodicals
629.805 - Journal URLs:
- https://www.journals.elsevier.com/ifac-papersonline/ ↗
http://www.sciencedirect.com/ ↗ - DOI:
- 10.1016/j.ifacol.2022.11.206 ↗
- Languages:
- English
- ISSNs:
- 2405-8963
- Deposit Type:
- Legaldeposit
- View Content:
- Available online (eLD content is only available in our Reading Rooms) ↗
- Physical Locations:
- British Library DSC - BLDSS-3PM
British Library HMNTS - ELD Digital store - Ingest File:
- 24447.xml