Refine
Year of publication
Institute
- Fachbereich Bauingenieurwesen (86)
- Fachbereich Energietechnik (84)
- Fachbereich Wirtschaftswissenschaften (72)
- Fachbereich Elektrotechnik und Informationstechnik (64)
- Fachbereich Medizintechnik und Technomathematik (62)
- Fachbereich Luft- und Raumfahrttechnik (43)
- Fachbereich Gestaltung (40)
- Fachbereich Architektur (37)
- IfB - Institut für Bioengineering (37)
- Fachbereich Maschinenbau und Mechatronik (32)
Language
- German (365)
- English (191)
- Multiple languages (1)
- Dutch (1)
- Spanish (1)
Document Type
- Part of a Book (559) (remove)
Keywords
- Aktionskunst (4)
- Papierkunst (4)
- Wind Tunnel (3)
- Autonomous mobile robots (2)
- Bologna-Prozess (2)
- Central receiver power plant (2)
- Central receiver system (2)
- Concentrated solar collector (2)
- Concentrated systems (2)
- Datenschutz (2)
Bussysteme
(2006)
RGB-D sensors such as the Microsoft Kinect or the Asus Xtion are inexpensive 3D sensors. A depth image is computed by calculating the distortion of a known infrared light (IR) pattern which is projected into the scene. While these sensors are great devices they have some limitations. The distance they can measure is limited and they suffer from reflection problems on transparent, shiny, or very matte and absorbing objects. If more than one RGB-D camera is used the IR patterns interfere with each other. This results in a massive loss of depth information. In this paper, we present a simple and powerful method to overcome these problems. We propose a stereo RGB-D camera system which uses the pros of RGB-D cameras and combine them with the pros of stereo camera systems. The idea is to utilize the IR images of each two sensors as a stereo pair to generate a depth map. The IR patterns emitted by IR projectors are exploited here to enhance the dense stereo matching even if the observed objects or surfaces are texture-less or transparent. The resulting disparity map is then fused with the depth map offered by the RGB-D sensor to fill the regions and the holes that appear because of interference, or due to transparent or reflective objects. Our results show that the density of depth information is increased especially for transparent, shiny or matte objects.
Mehrwert
(2014)
This paper presents a numerical procedure for reliability analysis of thin plates and shells with respect to plastic collapse or to inadaptation. The procedure involves a deterministic shakedown analysis for each probabilistic iteration, which is based on the upper bound approach and the use of the exact Ilyushin yield surface. Probabilistic shakedown analysis deals with uncertainties originated from the loads, material strength and thickness of the shell. Based on a direct definition of the limit state function, the calculation of the failure probability may be efficiently solved by using the First and Second Order Reliability Methods (FORM and SORM). The problem of reliability of structural systems (series systems) is handled by the application of a special technique which permits to find all the design points corresponding to all the failure modes. Studies show, in this case, that it improves considerably the FORM and SORM results.
Dynamik bei Eisenbahnbrücken
(2012)