Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Simon Kriegel"'
Autor:
Andreas Dömel, Simon Kriegel, Michael Kaßecker, Manuel Brucker, Tim Bodenmüller, Michael Suppa
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 14 (2017)
This work presents a concept for autonomous mobile manipulation in industrial environments. Utilizing autonomy enables an unskilled human worker to easily configure a complex robotics system in a setup phase before carrying out fetch and carry operat
Externí odkaz:
https://doaj.org/article/059fd6f661594a738d2fc20afd439c44
Autor:
Simon Kriegel, Serkan Türker, Sebastian Riedel, Christian Rink, Manuel Brucker, Tim Bodenmüller, Zoltan-Csaba Marton
Publikováno v:
Autonomous Robots. 42:423-442
This article describes a probabilistic approach for improving the accuracy of general object pose estimation algorithms. We propose a histogram filter variant that uses the exploration capabilities of robots, and supports active perception through a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::96cf5ea486c686b12767bac8032287b4
https://doi.org/10.1007/s10514-017-9633-1
https://doi.org/10.1007/s10514-017-9633-1
Publikováno v:
ISPRS Journal of Photogrammetry and Remote Sensing. 125:1-15
In this paper we present a learning-based 3D detection of a highly challenging specular object exposed to a direct sunlight at very close-range. An object detection is one of the most important areas of image processing, and can also be used for init
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::48126046fa6299f905ed4d9dec9a3fb3
https://doi.org/10.1016/j.isprsjprs.2017.01.002
https://doi.org/10.1016/j.isprsjprs.2017.01.002
Publikováno v:
Autonomous Robots
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=r3c4b2081b22::96cf5ea486c686b12767bac8032287b4
Publikováno v:
IROS
A robotic system for search and rescue missions needs to efficiently explore and map new areas. In this paper, we present an integrated exploration strategy with active loop closing, which balances between the exploration speed and map quality. Speci
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8316d0475bd689adb816e4e4a4f48502
https://doi.org/10.1109/iros.2017.8206521
https://doi.org/10.1109/iros.2017.8206521
Autor:
Rudolph Triebel, Simon Kriegel, Ferenc Balint-Benczedi, Maximilian Durner, Sebastian Riedel, Manuel Brucker, Zoltan-Csaba Marton
Publikováno v:
ICAR
2017 18th International Conference on Advanced Robotics (ICAR)
2017 18th International Conference on Advanced Robotics (ICAR)
As the performance of key perception tasks heavily depends on their parametrization, deploying versatile robots to different application domains will also require a way to tune these changing scenarios by their operators. As many of these tunings are
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a01415a9988056449bf43e1ea19b7217
https://doi.org/10.1109/icar.2017.8023493
https://doi.org/10.1109/icar.2017.8023493
Autor:
Christian Rink, Daniel Seth, Maximilian Denninger, Simon Kriegel, Tim Bodenmüller, Zoltan-Csaba Marton
Publikováno v:
Journal of Sensors, Vol 2016 (2016)
Journal of Sensors
Journal of Sensors
This work focuses on Monte Carlo registration methods and their application with autonomous robots. A streaming and an offline variant are developed, both based on a particle filter. The streaming registration is performed in real-time during data ac
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4e52a93106cfe8be86a3a98b9896edcf
https://doi.org/10.1155/2016/2546819
https://doi.org/10.1155/2016/2546819
Autor:
Simon Kriegel, Christian Rink
Publikováno v:
CRV
This work contributes the optimization of a streaming pose estimation particle filter and its integration into an autonomous object modeling approach. The particle filter is advanced by an additional pose optimization in the particle weighting step.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d4f5069105acd6ebfe23df81fa448955
https://elib.dlr.de/104922/
https://elib.dlr.de/104922/
Publikováno v:
2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR).
This work is focused on streaming particle filter registration of surface models such as homogeneous triangle meshes and point clouds. Part of the approach is a streaming curvature feature calculation. The investigated approach utilizes a particle fi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::615c48db3e61ec9baafeee60c361a922
https://doi.org/10.1109/aqtr.2016.7501379
https://doi.org/10.1109/aqtr.2016.7501379
Publikováno v:
2016 IEEE International Conference on Automation, Quality and Testing, Robotics (AQTR).
This paper describes a multi-view pose estimation system, that is exploiting the mobility of a depth sensor through mounting it onto a robotic manipulator. Given a pose estimation algorithm that performs feature extraction and matching to a model dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58aeec0f32e297b879e17b93ae364da9
https://doi.org/10.1109/aqtr.2016.7501381
https://doi.org/10.1109/aqtr.2016.7501381