Zobrazeno 1 - 10
of 24
pro vyhledávání: '"David Törnqvist"'
Publikováno v:
Remote Sensing, Vol 4, Iss 7, Pp 2076-2111 (2012)
This article considers a sensor management problem where a number of road bounded vehicles are monitored by an unmanned aerial vehicle (UAV) with a gimballed vision sensor. The problem is to keep track of all discovered targets and simultaneously sea
Externí odkaz:
https://doaj.org/article/bdb5318578664a4291ca9c30a58fad89
Publikováno v:
Journal of Process Control. 30:69-79
An established method for grey-box identification is to use maximum-likelihood estimation for the nonlinear case implemented via extended Kalman filtering. In applications of (nonlinear) model pred ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1ab4d1332f911f487092bb3bd57693f8
https://doi.org/10.1016/j.jprocont.2014.12.008
https://doi.org/10.1016/j.jprocont.2014.12.008
Publikováno v:
Remote Sensing, Vol 4, Iss 7, Pp 2076-2111 (2012)
Remote Sensing
Volume 4
Issue 7
Pages: 2076-2111
Remote Sensing
Volume 4
Issue 7
Pages: 2076-2111
This article considers a sensor management problem where a number of road bounded vehicles are monitored by an unmanned aerial vehicle (UAV) with a gimballed vision sensor. The problem is to keep track of all discovered targets and simultaneously sea
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f1f73096160a509d52dc766e641b8f60
http://www.mdpi.com/2072-4292/4/7/2076
http://www.mdpi.com/2072-4292/4/7/2076
Autor:
Magnus Jobs, Jonas Callmer, David Törnqvist, Peter Stromback, Fredrik Gustafsson, Joakim Rydell, Jouni Rantakokko, Peter Händel, Mathias Gruden
Publikováno v:
IEEE Wireless Communications. 18:10-18
A robust, accurate positioning system with seamless outdoor and indoor coverage is a highly needed tool for increasing safety in emergency response and military urban operations. It must be lightweight, small, inexpensive, and power efficient, and st
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3605cbec965b8c08fcf8c6cfdc058d3a
https://doi.org/10.1109/mwc.2011.5751291
https://doi.org/10.1109/mwc.2011.5751291
Publikováno v:
Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications. 2010:1-6
In applications of (nonlinear) model predictive control a more and more common approach for the state estimation is to use moving horizon estimation, which employs (nonlinear) optimization directly ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ce5f4e61dd679de4683c54cbde3e2246
https://doi.org/10.5687/sss.2010.1
https://doi.org/10.5687/sss.2010.1
Publikováno v:
Journal of Intelligent and Robotic Systems. 55:249-266
This work presents a particle filter method closely related to Fastslam for solving the simultaneous localization and mapping (slam) problem. Using the standard Fastslam algorithm, only low-dimensional vehicle models can be handled due to computation
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::06483ef7ef362b117a44977e20802f48
https://doi.org/10.1007/s10846-008-9301-y
https://doi.org/10.1007/s10846-008-9301-y
Autor:
David Törnqvist, Fredrik Gustafsson
Publikováno v:
IFAC Proceedings Volumes. 39:599-604
Fault detection based on comparing a batch of data with a model of the system using the generalized likelihood ratio test is considered. Careful treatment of the initial state of the model is quite important, in particular for short batch sizes. Ther
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6ed753e5fc4de125244deea4cd6ed255
https://doi.org/10.3182/20060829-4-cn-2909.00099
https://doi.org/10.3182/20060829-4-cn-2909.00099
Publikováno v:
IFAC Proceedings Volumes. 38:743-748
The Generalized Likelihood Ratio (GLR) test for fault detection as derived by Willsky and Jones is a recursive method to detect additive changes in linear systems in a Kalman filter framework. Here, we evaluate the GLR test on a sliding window and co
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::75946a1df1df0bebb164084253518f0b
https://doi.org/10.3182/20050703-6-cz-1902.00125
https://doi.org/10.3182/20050703-6-cz-1902.00125
Publikováno v:
Cognitive Systems Monographs ISBN: 9783662438589
Scene reconstruction, i.e. the process of creating a 3D representation (mesh) of some real world scene, has recently become easier with the advent of cheap RGB-D sensors (e.g. the Microsoft Kinect).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4a56f08456781f8df9a5dd34c0aa5455
https://doi.org/10.1007/978-3-662-43859-6_4
https://doi.org/10.1007/978-3-662-43859-6_4
Many RGB-D sensors, e.g. the Microsoft Kinect, use rolling shutter cameras. Such cameras produce geometrically distorted images when the sensor is moving. To mitigate these rolling shutter distortions we propose a method that uses an attached gyrosco
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::57d360c2c5a03722d208826b413459c5
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-87751
http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-87751