Zobrazeno 1 - 10
of 99
pro vyhledávání: '"Juan A. Besada"'
Assessing the Acceptance of a Mid-Air Gesture Syntax for Smart Space Interaction: An Empirical Study
Publikováno v:
Journal of Sensor and Actuator Networks, Vol 13, Iss 2, p 25 (2024)
Mid-gesture interfaces have become popular for specific scenarios, such as interactions with augmented reality via head-mounted displays, specific controls over smartphones, or gaming platforms. This article explores the use of a location-aware mid-a
Externí odkaz:
https://doaj.org/article/1addd13339ee4c25aa3f20db83bffe0f
Publikováno v:
Sensors, Vol 23, Iss 21, p 8766 (2023)
This paper summarizes in depth the state of the art of aerial swarms, covering both classical and new reinforcement-learning-based approaches for their management. Then, it proposes a hybrid AI system, integrating deep reinforcement learning in a mul
Externí odkaz:
https://doaj.org/article/37aab84b68a243e7ad6f1bc179ac6e38
Publikováno v:
Sensors, Vol 22, Iss 4, p 1498 (2022)
Unmanned traffic management (UTM) systems rely on collaborative position reporting to track unmanned aerial system (UAS) operations over wide unsurveilled (with counter-UAS systems) areas. Many different technologies, such as Remote-ID, ADS-B, FLARM,
Externí odkaz:
https://doaj.org/article/b9a2e15f4b104e55bd5292a31cd3189c
Publikováno v:
Sensors, Vol 22, Iss 1, p 189 (2021)
Noncollaborative surveillance of airborne UAS (Unmanned Aerial System) is a key enabler to the safe integration of UAS within a UTM (Unmanned Traffic Management) ecosystem. Thus, a wide variety of new sensors (known as Counter-UAS sensors) are being
Externí odkaz:
https://doaj.org/article/9a91aa2e7f9a4a5892e2e274ef4c469e
Publikováno v:
Sensors, Vol 21, Iss 3, p 927 (2021)
Unmanned traffic management (UTM) systems will become a key enabler to the future drone market ecosystem, enabling the safe concurrent operation of both manned and unmanned aircrafts. Currently, these systems are usually tested by performing real sce
Externí odkaz:
https://doaj.org/article/2da3ecde9bcc4632a3175f75aea4fc38
Autor:
Juan A. Besada, Luca Bergesio, Iván Campaña, Diego Vaquero-Melchor, Jaime López-Araquistain, Ana M. Bernardos, José R. Casar
Publikováno v:
Sensors, Vol 18, Iss 4, p 1170 (2018)
This paper describes a Mission Definition System and the automated flight process it enables to implement measurement plans for discrete infrastructure inspections using aerial platforms, and specifically multi-rotor drones. The mission definition ai
Externí odkaz:
https://doaj.org/article/882abcffa85a4d789b9f59ad74e1e9ea
Autor:
Antonio Berlanga, Juan A. Besada, Jesús García Herrero, José M. Molina, Javier I. Portillo, José R. Casar
Publikováno v:
EURASIP Journal on Advances in Signal Processing, Vol 2004, Iss 8, Pp 1125-1134 (2004)
The design of statistical classification systems for optical character recognition (OCR) is a cumbersome task. This paper proposes a method using evolutionary strategies (ES) to evolve and upgrade the set of parameters in an OCR system. This OCR is a
Externí odkaz:
https://doaj.org/article/02d3a3d4042a4311bcfb922235ea1b91
Publikováno v:
Sensors, Vol 17, Iss 10, p 2171 (2017)
In this paper, a complete and rigorous mathematical model for secondary surveillance radar systematic errors (biases) is developed. The model takes into account the physical effects systematically affecting the measurement processes. The azimuth bias
Externí odkaz:
https://doaj.org/article/c0ff11cef3894b57819a67896ca6d58e
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 10 (2014)
Pedestrian tracking is one of the bases for many ubiquitous context-aware services, but it is still an open issue in indoor environments or when GPS estimations are not optimal. In this paper, we propose two novel different data fusion algorithms to
Externí odkaz:
https://doaj.org/article/432f2db9e450478c98266aa7ff16655d
Publikováno v:
IEEE Transactions on Aerospace and Electronic Systems. 55:3330-3346
This paper describes a formal language for describing intent of quadrotor aircraft. The aim of this language is to support the prediction of quadrotor trajectories modeling guidance instructions in a compact and univocal manner, enabling to efficient
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e81c4f068e2db5e85ae9e4f75487ae0
https://doi.org/10.1109/taes.2019.2907396
https://doi.org/10.1109/taes.2019.2907396