Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Tillmann Falck"'
Publikováno v:
IEEE Robotics and Automation Letters. 6:3599-3606
Precision management of agricultural fields as well as plant breeding are central factors for keeping yields high and to provide food, feed, and fiber for our society. A key element in breeding trials but also for targeted management actions is to an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::078de364c40dd0c5e6bd94a5b97a8c0f
https://doi.org/10.1109/lra.2021.3060712
https://doi.org/10.1109/lra.2021.3060712
Autor:
Andrei Cramariuc, Florian Tschopp, Nikhilesh Alatur, Stefan Benz, Tillmann Falck, Marius Bruhlmeier, Benjamin Hahn, Juan Nieto, Roland Siegwart
Publikováno v:
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
Localization is an essential task for mobile autonomous robotic systems that want to use pre-existing maps or create new ones in the context of SLAM. Today, many robotic platforms are equipped with high-accuracy 3D LiDAR sensors, which allow a geomet
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::59e84012f03be8c156181534b28c46fd
https://doi.org/10.1109/iros51168.2021.9636156
https://doi.org/10.1109/iros51168.2021.9636156
Autor:
Nived Chebrolu, Stéphanie Aravecchia, Ciro Potena, Philipp Lottes, Johannes Pfeifer, Frank Liebisch, Inkyu Sa, Christian Dornhege, Elisa Rothacker-Feder, Andres Milioto, Raghav Khanna, Wera Winterhalter, Sandro Nardi, Juan Nieto, Alessandra Fontenla, Marija Popovic, Wolfram Burgard, Tillmann Falck, Alexander Schaefer, Marco Imperoli, Daniele Nardi, Alberto Pretto, Roland Siegwart, Cyrill Stachniss, Achim Walter, Xiaolong Wu, Freya Fleckenstein, Cédric Pradalier
Publikováno v:
IEEE Robotics & Automation Magazine, 28 (3)
The application of autonomous robots in agriculture is gaining increasing popularity thanks to the high impact it may have on food security, sustainability, resource use efficiency, reduction of chemical treatments, and the optimization of human effo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e4e5c275169f35958a91213222c3d647
http://arxiv.org/abs/1911.03098
http://arxiv.org/abs/1911.03098
Publikováno v:
IFAC Proceedings Volumes. 45:1300-1305
This paper develops a new approach based on Least Squares Support Vector Machines (LS-SVMs) for parameter estimation of time invariant as well as time varying dynamical SISO systems. Closed-form approximate models for the state and its derivative are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f882d49ddecde3c32e3b726197a97fa
https://doi.org/10.3182/20120711-3-be-2027.00044
https://doi.org/10.3182/20120711-3-be-2027.00044
Publikováno v:
IFAC Proceedings Volumes. 44:13209-13214
Segmentation of time series data is of interest in many applications, as for example in change detection and fault detection. In the area of convex optimization, the sum-of-norms regularization has ...
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::7d2033c227572322e4b56f6d5efb3046
https://doi.org/10.3182/20110828-6-it-1002.01988
https://doi.org/10.3182/20110828-6-it-1002.01988
Publikováno v:
Lecture Notes in Control and Information Sciences
Block-oriented Nonlinear System Identification
Lecture Notes in Control and Information Sciences ISBN: 9781849965125
Block-oriented Nonlinear System Identification
Lecture Notes in Control and Information Sciences ISBN: 9781849965125
This paper presents a method for the identification of multiple-input-multiple-output (MIMO) Hammerstein systems for the goal of prediction. The method extends the numerical algorithms for subspace state space system identification (N4SID), mainly by
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3348091a62161f697da470ad30a168c6
Publikováno v:
IFAC Proceedings Volumes. 42:820-825
This paper extends the overparametrization technique as used for Hammerstein systems employing nonlinear Least-Squares Support Vector Machines (LS-SVMs) towards the identification of Wiener-Hammerstein systems. We present some practical guidelines as
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d7a792f6cf5913fc0a3fe551afa6833b
https://doi.org/10.3182/20090706-3-fr-2004.00136
https://doi.org/10.3182/20090706-3-fr-2004.00136
The class of nonlinear systems is much broader than that of linear systems. Hence, for the estimation of nonlinear systems a lot of system structures are still an active domain for research. Most established techniques for nonlinear system identifica
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b5c1b66b72dfa160eb8715cf4e6d59a7
https://doi.org/10.1201/b17558-20
https://doi.org/10.1201/b17558-20
Approximate solutions to ordinary differential equations using least squares support vector machines
Publikováno v:
IEEE Transactions on Neural Networks and Learning Systems, 23(9), 1356-1367. IEEE
IEEE Transactions on Neural Networks and Learning Systems
IEEE Transactions on Neural Networks and Learning Systems
In this paper, a new approach based on least squares support vector machines (LS-SVMs) is proposed for solving linear and nonlinear ordinary differential equations (ODEs). The approximate solution is presented in closed form by means of LS-SVMs, whos
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1ddf38abcbc1f0f72f60dfb746621bac
https://pubmed.ncbi.nlm.nih.gov/24807921
https://pubmed.ncbi.nlm.nih.gov/24807921
Autor:
Tillmann Falck
Publikováno v:
No periodic title.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=erc_________::c14531694b8d68ac94c3f3a913654cfd