Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Luis Mejias Alvarez"'
Publikováno v:
Remote Sensing, Vol 11, Iss 19, p 2331 (2019)
Remote Sensing; Volume 11; Issue 19; Pages: 2331
Remote Sensing; Volume 11; Issue 19; Pages: 2331
Remote sensing technology in recent years has been regarded the most important source to provide substantial information for delineating the flooding extent to the disaster management authority. There have been numerous studies proposing mathematical
Autor:
Xilin Yang, Luis Mejias Alvarez
Publikováno v:
IFAC Symposium on Intelligent Autonomous Vehicles
This paper presents a nonlinear gust-attenuation controller based on constrained neural-network (NN) theory. The controller aims to achieve sufficient stability and handling quality for a fixed-wing unmanned aerial system (UAS) in a gusty environment
Publikováno v:
DICTA
This paper addresses the challenge of introducing a Bayes rules to measure flood probability from multispectral data. Machine learning classifiers were applied to map the extent of flood inun- dation from multispectral remote sensing imagery. The pap
Publikováno v:
Sense and Avoid in UAS: Research and Applications
The integration of unmanned aircraft into civil airspace is a complex issue. One key question is whether unmanned aircraft can operate just as safely as their manned counterparts. The absence of a human pilot in unmanned aircraft automatically points
Publikováno v:
Pattern Recognition and Image Analysis. 17:508-522
The aim of this work is to accurately estimate from an image the parameters of some ellipses and their relative positions with respect to a given pattern. The process is characterized because it is fully automated and is robust against image noise an
Autor:
Luis Mejias Alvarez, Peter Corke
Publikováno v:
Springer Tracts in Advanced Robotics ISBN: 9783319074870
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4d1cfcc02306ae7e500e7c29916721fe
https://doi.org/10.1007/978-3-319-07488-7
https://doi.org/10.1007/978-3-319-07488-7
Publikováno v:
Proceedings of the 2014 International Conference on Unmanned Aerial Systems (ICUAS'14)
Multi-touch interfaces across a wide range of hardware platforms are becoming pervasive. This is due to the adoption of smart phones and tablets in both the consumer and corporate market place. This paper proposes a human-machine interface to interac
Publikováno v:
2009 IEEE Aerospace conference.
This paper looks at incorporating time information into a waypoint trajectory-generation technique known as Vector Field Guidance to give a 4D trajectory generator henceforth known as Tensor Field Guidance. The time-based information is local in that