Abstract—The development of modern tracking system in the recent past is towards distributed sensor scenarios. As communication links often suffer from varying delays, timely disordered data appears. An exact solution to the general Out-of-Sequence problem is given by the Accumulated State Density (ASD) filter [1], [2]. In this paper, we derive the Information filter form for this accumulated state. This is of particular interest for track initialization in case of absolute absence of information. However, as numerical complexity is higher as for the standard ASD filter, the latter should be preferred for ongoing tracking processes
The problem of multiple-sensor-based multipleobject tracking is studied for adverse environments inv...
A particle filter based solution to the out-of-sequence measurement (OOSM) problem is proposed. The ...
The problem of multi-object tracking with sensor networks is studied using the probability hypothesi...
The development of modern tracking system in the recent past is towards distributed sensor scenarios...
Abstract – In target tracking applications, the full infor-mation on the kinematic target states acc...
In target tracking applications, the full information on the kinematic target states accumulated ove...
Accumulated state density (ASD) provides a unified treatment of filtering and retrodiction insofar a...
Originally, the Accumulated State Density (ASD) has been proposed to provide an exact solution to th...
In tracking and sensor data fusion applications, the full information on kinematic object properties...
In target tracking applications, the full information on the kinematic target states accumulated ove...
Originally, the Accumulated State Density (ASD) has been proposed to provide an exact solution to th...
In this article, we propose a new extension to a Dynamic Programming Algorithm (DPA) approach for Tr...
In target tracking/fusion applications, the measurements often do not become available in the order ...
In target tracking/fusion applications, the measurements often do not become available in the order ...
In this dissertation two problems are investigated in the area of target tracking: GMTI radar track ...
The problem of multiple-sensor-based multipleobject tracking is studied for adverse environments inv...
A particle filter based solution to the out-of-sequence measurement (OOSM) problem is proposed. The ...
The problem of multi-object tracking with sensor networks is studied using the probability hypothesi...
The development of modern tracking system in the recent past is towards distributed sensor scenarios...
Abstract – In target tracking applications, the full infor-mation on the kinematic target states acc...
In target tracking applications, the full information on the kinematic target states accumulated ove...
Accumulated state density (ASD) provides a unified treatment of filtering and retrodiction insofar a...
Originally, the Accumulated State Density (ASD) has been proposed to provide an exact solution to th...
In tracking and sensor data fusion applications, the full information on kinematic object properties...
In target tracking applications, the full information on the kinematic target states accumulated ove...
Originally, the Accumulated State Density (ASD) has been proposed to provide an exact solution to th...
In this article, we propose a new extension to a Dynamic Programming Algorithm (DPA) approach for Tr...
In target tracking/fusion applications, the measurements often do not become available in the order ...
In target tracking/fusion applications, the measurements often do not become available in the order ...
In this dissertation two problems are investigated in the area of target tracking: GMTI radar track ...
The problem of multiple-sensor-based multipleobject tracking is studied for adverse environments inv...
A particle filter based solution to the out-of-sequence measurement (OOSM) problem is proposed. The ...
The problem of multi-object tracking with sensor networks is studied using the probability hypothesi...