Moving target localization by cooperation of multiple flying vehicles
Autor: | Sayyed Majid Esmailifar, Fariborz Saghafi |
---|---|
Rok vydání: | 2015 |
Předmět: |
Engineering
business.industry media_common.quotation_subject Monte Carlo method Aerospace Engineering Fidelity Sensor fusion Bayesian estimator Position (vector) Trajectory Six degrees of freedom Computer vision Noise (video) Artificial intelligence Electrical and Electronic Engineering business media_common |
Zdroj: | IEEE Transactions on Aerospace and Electronic Systems. 51:739-746 |
ISSN: | 0018-9251 |
DOI: | 10.1109/taes.2014.130168 |
Popis: | An algorithm, by cooperation of multiple flying vehicles, is developed to localize a moving target in the presence of measurement noise and mis-modeling. It works based on jointly sharing information and data fusion by using a recursive Bayesian estimator and a searching guidance law to direct each flying vehicle to a position where the probability of target detection is maximum. To evaluate this algorithm, a high fidelity simulation program with six degrees of freedom dynamics is also developed. |
Databáze: | OpenAIRE |
Externí odkaz: |