Zobrazeno 1 - 10
of 42
pro vyhledávání: '"Prankl, Johann"'
The research in dense online 3D mapping is mostly focused on the geometrical accuracy and spatial extent of the reconstructions. Their color appearance is often neglected, leading to inconsistent colors and noticeable artifacts. We rectify this by ex
Externí odkaz:
http://arxiv.org/abs/1804.07427
This paper presents the behaviour control of a service robot for intelligent object search in a domestic environment. A major challenge in service robotics is to enable fetch-and-carry missions that are satisfying for the user in terms of efficiency
Externí odkaz:
http://arxiv.org/abs/1510.01554
This work presents a flexible system to reconstruct 3D models of objects captured with an RGB-D sensor. A major advantage of the method is that our reconstruction pipeline allows the user to acquire a full 3D model of the object. This is achieved by
Externí odkaz:
http://arxiv.org/abs/1505.05643
Autor:
Riegler-Nurscher, Peter ⁎, Moitzi, Gerhard, Prankl, Johann, Huber, Josef, Karner, Jürgen, Wagentristl, Helmut, Vincze, Markus
Publikováno v:
In Soil & Tillage Research February 2020 196
In this paper, we propose an efficient semantic segmentation framework for indoor scenes, tailored to the application on a mobile robot. Semantic segmentation can help robots to gain a reasonable understanding of their environment, but to reach this
Externí odkaz:
http://arxiv.org/abs/1404.5765
Humanoid robots without internal sensors such as a compass tend to lose their orientation after a fall. Furthermore, re-initialisation is often ambiguous due to symmetric man-made environments. The room-awareness module proposed here is inspired by t
Externí odkaz:
http://arxiv.org/abs/1304.5878
Publikováno v:
In Biosystems Engineering May 2018 169:188-198
Publikováno v:
KI: Künstliche Intelligenz; Dec2023, Vol. 37 Issue 2-4, p187-194, 8p
Publikováno v:
In Journal of Visual Communication and Image Representation January 2014 25(1):64-73
Publikováno v:
In Computer Vision and Image Understanding June 2013 117(6):718-731