Mutual Application of Joint Probabilistic Data Association, Filtering, and Smoothing Techniques for Robust Multiple Space Object Tracking (Invited)

2014 ◽  
Author(s):  
Jason Stauch ◽  
Moriba Jah ◽  
Jason Baldwin ◽  
Thomas Kelecy ◽  
Keric A. Hill
Keyword(s):  
Object Tracking ◽  
Data Association ◽  
Space Object ◽  
Probabilistic Data ◽  
Smoothing Techniques ◽  
Probabilistic Data Association ◽  
Space Object Tracking

scholarly journals Joint Probabilistic Data Association and Smoothing Applied to Multiple Space Object Tracking

2018 ◽  
Vol 41 (1) ◽  
pp. 19-33 ◽  
Author(s):  
Jason Stauch ◽  
Travis Bessell ◽  
Mark Rutten ◽  
Jason Baldwin ◽  
Moriba Jah ◽  
...  
Keyword(s):  
Object Tracking ◽  
Data Association ◽  
Space Object ◽  
Probabilistic Data ◽  
Probabilistic Data Association ◽  
Space Object Tracking

Moving Horizon Estimation with Probabilistic Data Association for Object Tracking Considering System Noise Constraint

2020 ◽  
Vol 32 (3) ◽  
pp. 537-547
Author(s):  
Tomoya Kikuchi ◽  
◽  
Kenichiro Nonaka ◽  
Kazuma Sekiguchi
Keyword(s):  
Object Tracking ◽  
False Recognition ◽  
Numerical Optimization ◽  
Data Association ◽  
Moving Horizon Estimation ◽  
Probabilistic Data ◽  
Probabilistic Data Association ◽  
Physical Constraints ◽  
Cluttered Environment ◽  
Automation Technology

Object tracking is widely utilized and becomes indispensable in automation technology. In environments containing many objects, however, occlusion and false recognition frequently occur. To alleviate these issues, in this paper, we propose a novel object tracking method based on moving horizon estimation incorporating probabilistic data association (MHE-PDA) through a probabilistic data association filter (PDAF). Since moving horizon estimation (MHE) is accomplished through numerical optimization, we can ensure that the estimation is consistent with physical constraints and robust to outliers. The robustness of the proposed method against occlusion and false recognition is verified by comparison with PDAF through simulations of a cluttered environment.

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