Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Rainer Worst"'
Autor:
Gerhard Senkowski, Hartmut Surmann, Tim Buschmann, Niklas Goddemeier, Alexander Schmitz, Rainer Worst, Artur Leinweber
Publikováno v:
SSRR
This technical report is about the architecture and integration of commercial UAVs in Search and Rescue missions. We describe a framework that consists of heterogeneous UAVs, a UAV task planner, a bridge to the UAVs, an intelligent image hub, and a 3
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::0c8abaac9dc75ae4e17a7be2ddfd9627
https://doi.org/10.1109/ssrr.2019.8848940
https://doi.org/10.1109/ssrr.2019.8848940
Autor:
Jeremy Carter, Efren Feliu, Eva Streberova, Daniel Lückerath, Peter Bosch, Angela Connelly, Rainer Worst, Margaux Dumonteil, Maddalen Mendizabal, Erich Rome, Beñat Abajo, Oliver Ullrich, Manfred Bogen
Publikováno v:
Advanced Sciences and Technologies for Security Applications, 55-75
Advanced Sciences and Technologies for Security Applications ISBN: 9783030000233
Advanced Sciences and Technologies for Security Applications ISBN: 9783030000233
This chapter gives an introduction to risk-based vulnerability assessment of urban infrastructure regarding the consequences of climate change, by describing an approach developed as part of the EU-funded research and innovation project Climate Resil
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::2b42f5aa6568ad8c8e2286e16e6da320
http://resolver.tudelft.nl/uuid:913afd93-b6d6-4f3c-b1f9-ba9c263ce78d
http://resolver.tudelft.nl/uuid:913afd93-b6d6-4f3c-b1f9-ba9c263ce78d
Publikováno v:
Critical Information Infrastructures Security ISBN: 9783030058487
CRITIS
CRITIS
This paper presents “Impact and Vulnerability Analysis of Vital Infrastructures and Built-up Areas – IVAVIA”, a standardized process for the assessment of climate change-related risks and vulnerabilities in cities and urban environments. IVAVIA
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::4e72b3ec7fd30c87fdfdb11b04b5855e
https://doi.org/10.1007/978-3-030-05849-4_7
https://doi.org/10.1007/978-3-030-05849-4_7
Autor:
Oliver Ullrich, Manfred Bogen, Rainer Worst, Erich Rome, Betim Sojeva, Jingquan Xie, Daniel Lückerath
Publikováno v:
Enterprise Interoperability
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fd5588793b99616a5204c272d9523be5
https://doi.org/10.1002/9781119564034.ch49
https://doi.org/10.1002/9781119564034.ch49
Autor:
Jingquan Xie, Erich Rome, Rainer Worst, Manfred Bogen, Daniel Lückerath, Oliver Ullrich, Betim Sojeva
Publikováno v:
Simulation Notes Europe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::1f53a644b2b767d78b35538ef52e889a
Publikováno v:
IROS
This paper presents a novel approach to build consistent 3D maps for multi robot cooperation in USAR environments. The sensor streams from unmanned aerial vehicles (UAVs) and ground robots (UGV) are fused in one consistent map. The UAV camera data ar
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::acd6b3edfb632bec992759c9e4cbf4e8
https://doi.org/10.1109/iros.2017.8202217
https://doi.org/10.1109/iros.2017.8202217
Publikováno v:
Robotica (Camb., Print) 34 (2016): 2823–2841. doi:10.1017/S0263574715000442
info:cnr-pdr/source/autori:Giulio Reina; Annalisa Milella; Rainer Worst/titolo:LIDAR and stereo combination for traversability assessment of Off-Road Robotic Vehicles/doi:10.1017%2FS0263574715000442/rivista:Robotica (Camb., Print)/anno:2016/pagina_da:2823/pagina_a:2841/intervallo_pagine:2823–2841/volume:34
info:cnr-pdr/source/autori:Giulio Reina; Annalisa Milella; Rainer Worst/titolo:LIDAR and stereo combination for traversability assessment of Off-Road Robotic Vehicles/doi:10.1017%2FS0263574715000442/rivista:Robotica (Camb., Print)/anno:2016/pagina_da:2823/pagina_a:2841/intervallo_pagine:2823–2841/volume:34
SUMMARYReliable assessment of terrain traversability using multi-sensory input is a key issue for driving automation, particularly when the domain is unstructured or semi-structured, as in natural environments. In this paper, LIDAR-stereo combination
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::82dd22cbccd882fa2da549f4e0076ad8
http://hdl.handle.net/11589/238749
http://hdl.handle.net/11589/238749
Autor:
Morten R. Blas, Annalisa Milella, Giulio Reina, Raphaël Rouveure, Rainer Worst, Michael Nielsen
Publikováno v:
Biosystems engineering Volume 146 (2016): 114–132. doi:10.1016/j.biosystemseng.2015.12.010
info:cnr-pdr/source/autori:Reina G.; Milella A.; Rouveure R.; Nielsen M.; Worst R.; Blas M.R./titolo:Ambient awareness for agricultural robotic vehicles/doi:10.1016%2Fj.biosystemseng.2015.12.010/rivista:Biosystems engineering/anno:2016/pagina_da:114/pagina_a:132/intervallo_pagine:114–132/volume:Volume 146
Biosystems Engineering
Biosystems Engineering, Elsevier, 2016, 146, pp.114-132. ⟨10.1016/j.biosystemseng.2015.12.010⟩
info:cnr-pdr/source/autori:Reina G.; Milella A.; Rouveure R.; Nielsen M.; Worst R.; Blas M.R./titolo:Ambient awareness for agricultural robotic vehicles/doi:10.1016%2Fj.biosystemseng.2015.12.010/rivista:Biosystems engineering/anno:2016/pagina_da:114/pagina_a:132/intervallo_pagine:114–132/volume:Volume 146
Biosystems Engineering
Biosystems Engineering, Elsevier, 2016, 146, pp.114-132. ⟨10.1016/j.biosystemseng.2015.12.010⟩
International audience; In the last few years, robotic technology has been increasingly employed in agriculture to develop intelligent vehicles that can improve productivity and competitiveness. Accurate and robust environmental perception is a criti
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3929806dfc1752e1af14827a7e4b64fd
https://hdl.handle.net/11587/404468
https://hdl.handle.net/11587/404468
Autor:
Fiora Pirri, Joachim de Greeff, Tomas Svoboda, Petter Ögren, Rainer Worst, Mario Gianni, Francis Colas, Koen V. Hindriks, Ivana Kruijff-Korbayová, Mark A. Neerincx
Publikováno v:
KI-Künstliche Intelligenz
KI-Künstliche Intelligenz, Springer Nature, 2015, 29 (2), pp.193--201. ⟨10.1007/s13218-015-0352-5⟩
KI-Künstliche Intelligenz, 2015, 29 (2), pp.193--201. ⟨10.1007/s13218-015-0352-5⟩
KI-Künstliche Intelligenz, Springer Nature, 2015, 29 (2), pp.193--201. ⟨10.1007/s13218-015-0352-5⟩
KI-Künstliche Intelligenz, 2015, 29 (2), pp.193--201. ⟨10.1007/s13218-015-0352-5⟩
International audience; This paper contains a description of the project TRADR: Long-Term Human-Robot Teaming for Robot Assisted Disaster Response. As robotic disaster relief systems are still scarce, any incident serious enough to render robot invol
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bb40c4301cca6f4720f96af428a4059d
https://hal.archives-ouvertes.fr/hal-01143484/document
https://hal.archives-ouvertes.fr/hal-01143484/document
Publikováno v:
IFAC Proceedings Volumes. 37:412-417
In this paper we present our approach and experiments with equipping a mobile robot with a novel MEMS angular rate sensor (gyroscope) that was originally developed for automotive usage and is therefore mass produced and very low priced. By fusing its
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e47ecee9d2d9f343fa9545d92d5e725
https://doi.org/10.1016/s1474-6670(17)32011-6
https://doi.org/10.1016/s1474-6670(17)32011-6