Two contrasting approaches for tracking multiple targets in multi-beam forward-looking sonar images are considered. The first approach is based on assigning a Kalman filter to each target and managing the measurements with gating and a measurement-to-track data association technique. The second approach uses the recently developed particle implementation of the multiple-target probability hypothesis density (PHD) filter and a target state estimate-to-track data association technique. The two approaches are implemented and compared on both simulated sonar and real forward-looking sonar data obtained from an Autonomous Underwater Vehicle (AUV) and demonstrate that the PHD filter with data association compares well with traditional approaches ...
Multistatic sonar tracking is a difficult proposition. The ocean environment typically features very...
In the last decade, the area of multiple target tracking has witnessed the introduction of important...
International audienceIn this paper, we propose a novel phased-array track before detect (TBD) filte...
We propose a multi-target tracking algorithm based on the probability hypothesis density (PHD) filte...
Abstract – When tracking a large number of targets, it is often computationally expensive to represe...
International audienceIn this paper we propose a robust, track before detect particle filtering algo...
Multi-sensor sonar tracking has many advantages, such as the potential to reduce the overall measure...
Multi-sensor sonar tracking has many advantages, such as the potential to reduce the overall measure...
International audienceIn this paper we propose a robust, track before detect particle filtering algo...
International audienceIn this paper we propose a robust, track before detect particle filtering algo...
The purpose of the effort reported here is to investigate modern multi-target tracking algorithms fo...
Active sonar tracking using measurements from multistatic sensors has shown promise: there are benef...
Active sonar tracking using measurements from multistatic sensors has shown promise: there are benef...
Multistatic sonar tracking is a difficult proposition. The ocean environment typically features very...
A major advantage of the use of passive sonar in the tracking multiple underwater targets is that th...
Multistatic sonar tracking is a difficult proposition. The ocean environment typically features very...
In the last decade, the area of multiple target tracking has witnessed the introduction of important...
International audienceIn this paper, we propose a novel phased-array track before detect (TBD) filte...
We propose a multi-target tracking algorithm based on the probability hypothesis density (PHD) filte...
Abstract – When tracking a large number of targets, it is often computationally expensive to represe...
International audienceIn this paper we propose a robust, track before detect particle filtering algo...
Multi-sensor sonar tracking has many advantages, such as the potential to reduce the overall measure...
Multi-sensor sonar tracking has many advantages, such as the potential to reduce the overall measure...
International audienceIn this paper we propose a robust, track before detect particle filtering algo...
International audienceIn this paper we propose a robust, track before detect particle filtering algo...
The purpose of the effort reported here is to investigate modern multi-target tracking algorithms fo...
Active sonar tracking using measurements from multistatic sensors has shown promise: there are benef...
Active sonar tracking using measurements from multistatic sensors has shown promise: there are benef...
Multistatic sonar tracking is a difficult proposition. The ocean environment typically features very...
A major advantage of the use of passive sonar in the tracking multiple underwater targets is that th...
Multistatic sonar tracking is a difficult proposition. The ocean environment typically features very...
In the last decade, the area of multiple target tracking has witnessed the introduction of important...
International audienceIn this paper, we propose a novel phased-array track before detect (TBD) filte...