2 results
Search Results
Now showing 1 - 2 of 2
Conference Object Citation - Scopus: 1Multiple Underwater Target Bearing Tracking Using Member Filter;(Institute of Electrical and Electronics Engineers Inc., 2018) Gunes,A.; Guldogan,M.B.Underwater acoustic vector sensors (AVS) are devices which can measure scalar pressure and three dimensional acceleration or particle velocity with only one sensor. By using these four measurements, target detection and tracking is possible. In case multiple targets exist, multi-target detection and tracking methods must be applied. Because these methods are more general, the algorithms are more involved and complex. In this framework, multi-target multi-Bernoulli (MeMBer) is a promising filter based on random finite sets (RFS) for multi-target tracking problems. In this work, for the first time in the literature, MeMBer filter is analyzed using a single underwater acoustic vector sensor in a scenario including two targets. Simulation results indicate that MeMBer filter can successfully track the targets. © 2018 IEEE.Conference Object Shape Recognition With Low Cost Sensors;(Institute of Electrical and Electronics Engineers Inc., 2018) Saloglu,K.; Hosafci,A.; Birbilen,M.; Bulut,Y.A.; Gunes,A.This paper proposes a method to recognize the shape of some objects that have different geometrical properties using an infra-red sensor. To that end, a mechanism that has two degrees of freedom is designed. Scanning of the different objects are obtained. Noise on scanning output is removed. Finally, all the outputs for different objects are discussed to obtain the specifications to do shape recognition. © 2018 IEEE.
