Refine
Year of publication
- 2024 (8)
- 2023 (21)
- 2022 (12)
- 2021 (25)
- 2020 (20)
- 2019 (30)
- 2018 (35)
- 2017 (25)
- 2016 (26)
- 2015 (28)
- 2014 (24)
- 2013 (29)
- 2012 (24)
- 2011 (31)
- 2010 (26)
- 2009 (27)
- 2008 (27)
- 2007 (28)
- 2006 (17)
- 2005 (15)
- 2004 (19)
- 2003 (12)
- 2002 (20)
- 2001 (20)
- 2000 (19)
- 1999 (23)
- 1998 (16)
- 1997 (13)
- 1996 (10)
- 1995 (11)
- 1994 (15)
- 1993 (9)
- 1992 (8)
- 1991 (4)
- 1990 (6)
- 1989 (5)
- 1988 (5)
- 1987 (2)
- 1986 (1)
- 1985 (6)
- 1984 (1)
- 1982 (2)
- 1981 (1)
- 1980 (4)
- 1979 (2)
- 1978 (3)
- 1976 (1)
- 1975 (1)
- 1974 (1)
Institute
- Fachbereich Elektrotechnik und Informationstechnik (718) (remove)
Language
- English (718) (remove)
Document Type
- Article (414)
- Conference Proceeding (234)
- Part of a Book (38)
- Book (23)
- Conference: Meeting Abstract (5)
- Patent (2)
- Conference Poster (1)
- Doctoral Thesis (1)
Keywords
- Enterprise Architecture (5)
- MINLP (5)
- Engineering optimization (4)
- Optimization (3)
- Powertrain (3)
- Technical Operations Research (3)
- Telecommunication (3)
- Competence Developing Games (2)
- Energy efficiency (2)
- Engineering education (2)
Time-of-flight (ToF) sensors have become an alternative to conventional distance sensing techniques like laser scanners or image based stereo. ToF sensors provide full range distance information at high frame-rates and thus have a significant impact onto current research in areas like online object recognition, collision prevention or scene reconstruction. However, ToF cameras like the photonic mixer device (PMD) still exhibit a number of challenges regarding static and dynamic effects, e.g. systematic distance errors and motion artefacts, respectively. Sensor calibration techniques reducing static system errors have been proposed and show promising results. However, current calibration techniques in general need a large set of reference data in order to determine the corresponding parameters for the calibration model. This paper introduces a new calibration approach which combines different demodulation techniques for the ToF- camera 's reference signal. Examples show, that the resulting combined demodulation technique yields improved distance values based on only two required reference data sets.
This article describes the functionality of a MATLAB® library that can be used to develop motion-logic applications in MATLAB programming language for industrial drive and control systems using the well known sercos automation bus. Therewith MATLAB's functionality is extended to designing automation applications from single axis machines up to multi-kinematic robots.
Energieeffizienz und Energiemanagement : ein Überblick heutiger Möglichkeiten und Notwendigkeiten
(2012)
The Volatility Framework is a collection of tools for the analysis of computer RAM. The framework offers a multitude of analysis options and is used by many investigators worldwide. Volatility currently comes with a command line interface only, which might be a hinderer for some investigators to use the tool. In this paper we present a GUI and extensions for the Volatility Framework, which on the one hand simplify the usage of the tool and on the other hand offer additional functionality like storage of results in a database, shortcuts for long Volatility Framework command sequences, and entirely new commands based on correlation of data stored in the database.