Zobrazeno 1 - 10
of 17
pro vyhledávání: '"Thomas Emter"'
Autor:
Christian Frese, Angelika Zube, Philipp Woock, Thomas Emter, Nina Felicitas Heide, Alexander Albrecht, Janko Petereit
Publikováno v:
at - Automatisierungstechnik. 70:859-876
As part of ROBDEKON, a 24-ton crawler excavator was equipped with sensors and a digital actuation interface as a technology demonstrator which features autonomy capabilities. The system architecture includes algorithms for localization, perception, m
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18f59aa4e3ccce0c68192ae2d47373dd
https://doi.org/10.1515/auto-2022-0068
https://doi.org/10.1515/auto-2022-0068
Autor:
Angelika Zube, Dominik Kleiser, Alexander Albrecht, Philipp Woock, Thomas Emter, Boitumelo Ruf, Igor Tchouchenkov, Aleksej Buller, Boris Wagner, Ganzorig Baatar, Janko Petereit
Publikováno v:
at - Automatisierungstechnik. 70:482-495
The paper describes an autonomous water vehicle (ASV) capable of autonomously mapping shallow water environments above and below the water surface. Over the past two years, Fraunhofer IOSB has developed a system that is fully electrified and equipped
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6804793b002fd9217c19025618a7b921
https://doi.org/10.1515/auto-2021-0145
https://doi.org/10.1515/auto-2021-0145
This article describes a modular and scalable charging and navigation concept for electrified field robots and other agricultural machines. The concept consists of an underbody charging system on a trailer and a modular navigation box. The underlying
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b27abac06de24f7fd476968f9f256d1
https://publica.fraunhofer.de/handle/publica/266918
https://publica.fraunhofer.de/handle/publica/266918
Autor:
Angelika Zube, Alexander Albrecht, Janko Petereit, Dominik Kleiser, Philipp Woock, Thomas Emter
Publikováno v:
Global Oceans 2020: Singapore – U.S. Gulf Coast.
We show a multi-sensor platform for mapping tasks of shallow water areas like rivers or harbors, both under and above the waterline simultaneously. The autonomy of the platform is realized just by integrating the sensors and the autonomy box which pr
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::bd30c51ec48a898331e87a35516b1b07
https://doi.org/10.1109/ieeeconf38699.2020.9389482
https://doi.org/10.1109/ieeeconf38699.2020.9389482
Publikováno v:
ATZoffhighway worldwide. 10:48-53
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::33b9fa2828324351180699109096642c
https://doi.org/10.1007/s41321-017-0037-0
https://doi.org/10.1007/s41321-017-0037-0
Publikováno v:
ATZoffhighway. 10:48-53
Schwere Arbeitsmaschinen werden häufig in Umgebungen eingesetzt, die für den Menschen erhebliche Gesundheitsrisiken bergen. Ziel aktueller Forschungsaktivitäten am Fraunhofer IOSB ist es, Baumaschinen mit Autonomiefähigkeiten auszustatten, sodass
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9af0c637ebbde7b1b5e3f11c627aeb7b
https://doi.org/10.1007/s35746-017-0039-y
https://doi.org/10.1007/s35746-017-0039-y
Autor:
Janko Petereit, Thomas Emter
Publikováno v:
SSRR
While exploring unknown territory on search and rescue missions, fusing multiple sensors is vital for the precise on-line localization of mobile robots. The Extended Kalman filter (EKF) with stochastic cloning is well suited for this purpose and allo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2997e4da25dd02c482f6d02f9d209895
https://doi.org/10.1109/ssrr.2019.8848937
https://doi.org/10.1109/ssrr.2019.8848937
Publikováno v:
2019 IEEE Intelligent Vehicles Symposium (IV).
We propose a novel constrained planning approach for autonomous vehicles in unstructured outdoor environments. Our method enables autonomous off-road platforms to keep a predetermined track accurately, but in the same time allows the avoidance of sta
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2c0221cd16490eebd1fc0034f69b64d8
https://doi.org/10.1109/ivs.2019.8813805
https://doi.org/10.1109/ivs.2019.8813805
Publikováno v:
2019 IEEE Intelligent Vehicles Symposium (IV).
Fusing multiple sensors is vital for the precise online localization of mobile robots. The Extended Kalman filter is well suited for this purpose and allows to directly integrate multiple absolute measurements in the filter. However, multiple relativ
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::55a82e8c6158e113567152cad87386a9
https://doi.org/10.1109/ivs.2019.8814068
https://doi.org/10.1109/ivs.2019.8814068
Autor:
Janko Petereit, Thomas Emter
Publikováno v:
ICARCV
A mobile robot is reliant on precise and robust localization and mapping for autonomous navigation. For this purpose, sensor fusion techniques are employed to combine measurements of multiple sensor data sources. The well-known Extended Kalman filter
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e43f782b574cd1414dc73571ff69386c
https://doi.org/10.1109/icarcv.2018.8581384
https://doi.org/10.1109/icarcv.2018.8581384