The random-set framework for multiple target tracking offers a distinct alternative to the traditional approach to multiple target tracking by treating the collections of individual targets and observations as finite-sets. The multi-target state is predicted and updated recursively based on the set-valued observation. The complexity of computing the multi-target recursion grows exponentially wi...

This study investigates the processing of sonar signals using neural networks for robust differentiation of commonly encountered features in indoor robot environments. Differentiation of such features is of interest for intelligent systems in a variety of applications. Different representations of amplitude and time-of̄ight measurement patterns acquired from a real sonar system are processed. In...

This paper is concerned with the problem of recognition of objects laying on the sea-bed and presented on sonar images. Considering that high resolution sonar system provides acoustic images of high-quality, several researches have been interested in Synthetic Aperture Sonar (SAS) and Sides can sonar images for underwater objects. This work presents recent detection algorithms targeting their m...

Underwater navigation is always a challenging problem because of electromagnetic attenuation. The traditional methods involve beacons, inertial sensors, and Doppler velocity log, but they have many shortcomings, such as high cost lengthy setup time. In order to solve underwater problems at low cost, an integrated visual odometry system has been developed discussed in this article. method, two s...

source localization is an essential part of array signal processing including radar, sonar, seismology and oceanography applications. the performance of the presented source localization methods are degraded substantially in practical situations. one of the conditions which decreases the performance o

Tracking multiple people using cameras is similar to the well-studied problem of tracking multiple radar or sonar echoes. This thesis shows that current camera-based tracking algorithms convert each image in a video sequence to a list of targets through a segmentation step, and pass this target set to a traditional multiple-point-target tracking algorithm. Various tracking vision-based strategi...

The purpose of the work presented in this paper is to present a novel optimisation approach for path planning based on dynamic programming and to integrate it into a proposed navigation strategy. The proposed navigation strategy is a finite-state machine that integrates three navigation aspects. This strategy falls in the category of hybrid architectures. The two aspects other than path plannin...

Mobile robot vision-based navigation has been the source of countless research contributions, from the domains of both vision and control. Vision is becoming more and more common in applications such as localization, automatic map construction, autonomous navigation, path following, inspection, monitoring or risky situation detection. This survey presents those pieces of work, from the nineties...