Dirk Gabriel, M.Sc.

Wissenschaftlicher Mitarbeiter  

Technische Universität München
Fakultät für Elektrotechnik und Informationstechnik
Lehrstuhl für Integrierte Systeme
Arcisstr. 21
80290 München

Tel.: +49.89.289.28578
Fax: +49.89.289.28323
Gebäude: N1 (Theresienstr. 90)
Raum: N2117
Email: dirk.gabriel@tum.de

Angebotene Arbeiten

BAMAIDPFPIPHSSHK
Titel
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Motion Estimation Algorithms in Autonomous Driving

Motion Estimation Algorithms in Autonomous Driving

Beschreibung

Biologically, human brain is sensitive to visual changes observed by our eyes. After observing visual changes, human brain takes all the required high level behavioral decisions. In autonomous driving, various camera sensors help to perceive the motion in the surroundings, e.g. pedestrians, cyclists, automobiles etc.. This motion perception includes localizing, estimating velocities, tracking, and estimating trajectories of the road users. Motion estimation is a very well researched domain in machine vision over past 30 years. There are studies focusing on motion estimation using disparity estimation, eg. dense optical flow, stereo global matching. This seminar topic will focus on comparative study of the available start-of-the-art algorithms for dense optical flow and stereo global matching on continuous video frames.

Kontakt

Munish Jassi
munish.jassi@nxp.com

Betreuer:

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Motion Estimation Algorithms in Autonomous Driving

Motion Estimation Algorithms in Autonomous Driving

Beschreibung

Biologically, human brain is sensitive to visual changes observed by our eyes. After observing visual changes, human brain takes all the required high level behavioral decisions. In autonomous driving, various camera sensors help to perceive the motion in the surroundings, e.g. pedestrians, cyclists, automobiles etc.. This motion perception includes localizing, estimating velocities, tracking, and estimating trajectories of the road users. Motion estimation is a very well researched domain in machine vision over past 30 years. There are studies focusing on motion estimation using disparity estimation, eg. dense optical flow, stereo global matching. This seminar topic will focus on comparative study of the available start-of-the-art algorithms for dense optical flow and stereo global matching on continuous video frames.

Kontakt

Munish Jassi
munish.jassi@nxp.com

Betreuer:

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Statical WCET-Analysis for Multi-Core Systems

Statical WCET-Analysis for Multi-Core Systems

Beschreibung

It is indispensable to know the worst-case execution time (WCET) for the development of real-time systems. There exist several methods to approximate the WCET on single-core platforms. Whenever multiple tasks run simultaneously on a multi-core platform, these methods cannot provide a reliable estimation any more. The goal of this seminar is to summarize the major problems which arise when analysing multi-core applications and some methods to solve them.

Kontakt

Dirk Gabriel
Raum N2117
Tel. 089 289 28578
dirk.gabriel@tum.de

Betreuer:

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Statical WCET-Analysis for Multi-Core Systems

Statical WCET-Analysis for Multi-Core Systems

Beschreibung

It is indispensable to know the worst-case execution time (WCET) for the development of real-time systems. There exist several methods to approximate the WCET on single-core platforms. Whenever multiple tasks run simultaneously on a multi-core platform, these methods cannot provide a reliable estimation any more. The goal of this seminar is to summarize the major problems which arise when analysing multi-core applications and some methods to solve them.

Kontakt

Dirk Gabriel
Raum N2117
Tel. 089 289 28578
dirk.gabriel@tum.de

Betreuer:

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Hardware accelerated Image Fusion

Hardware accelerated Image Fusion

Beschreibung

Automated driving systems require reliable information on the current environment in order to make proper decisions. Different sensor systems like cameras, LIDAR and radar contribute to this information. To minimize the possibility of incorrect recognitions or undetected objects the data provided by the different sensors must be exhaustively analyzed and compared to each other.

Such comparisons are only possible if the full surrounding is observed by each sensor system. As a single camera has a limited viewing angle multiple cameras are placed at different places around the vehicle to provide the required visual input.

 Additionally the processing time of the sensor inputs and data fusion must stay within limited bounds to ensure low end-to-end reaction times. For the camera systems this leads to a hardware accelerated implementation in order to achieve the required processing time.

Goal

The major goal of the thesis is the selection and implementation of a suitible algorithm to combine multiple images provided by different cameras to one image. Whereas the evaluation of the algorithm can be done with a pure software version e.g. with OpenCV the final version should run on Xilinx Zynq with suitable hardware accelerators implemented in the FPGA part.

Voraussetzungen

To successfully complete this project, you should already have the following skills and experiences:

  • Knowledge of a hardware description language e.g. VHDL
  • Solid C programming skills
  • Hands-on FPGA development experience, preferably using Xilinx Vivado
  • Self-motivated and structured work style

Kontakt

Dirk Gabriel
Room N2117
Tel. 089 289 28578
dirk.gabriel@tum.de

Betreuer:

 

Unter Umständen sind auch Arbeiten möglich, die hier nicht explizit ausgeschrieben sind. Sofern sich die Themen grob in meinem Forschungsgebiet bewegen, kannst du gerne mit Ideen zu mir kommen. Häufig finden wir dann eine Lösung!

Laufende Arbeiten

Publikationen

  • Stefan Wildermann, Michael Bader, Lars Bauer, Marvin Damschen, Dirk Gabriel, Michael Gerndt, Michael Glaß, Jörg Henkel, Johny Paul, Alexander Pöppl, Sascha Roloff, Tobias Schwarzer, Gregor Snelting, Walter Stechele, Jürgen Teich, Andreas Weichslgartner, Andreas Zwinkau: Invasive computing for timing-predictable stream processing on MPSoCs. it - Information Technology, 2016 mehr… BibTeX Volltext ( DOI )
  • Gregor Walla, Dirk Gabriel, Alexander Reichert, Hans-Ulrich Michel, Walter Stechele, Andreas Herkersdorf: A Modular Design and Optimization Framework for Energy Efficient E/E Architectures. 4th International Conference on Energy Efficient Vehicles (ICEEV 2015), 2015 mehr… BibTeX
  • Gregor Walla, Andreas Barthels, Dirk Gabriel, Florian Ruf, Michael Winter, Hans-Ulrich Michel, Andreas Herkersdorf: Hardware Test Bench for the Evaluation of E/E-Architectures with Respect to Partitioning of Vehicle Functions and Energy Efficiency. 3rd International Conference on Energy Efficient Vehicles (ICEEV), 2014 mehr… BibTeX
  • Gregor Walla, Dirk Gabriel, Andreas Barthels, Florian Ruf, Michael Winter, Hans-Ulrich Michel, Andreas Herkersdorf: Automotive E/E Architecture Evaluation by High-level Simulation and Hardware Prototyping. DAC Workshop on System to Silicon Performance Modeling and Analysis, 2014 mehr… BibTeX
  • Gregor Walla, Dirk Gabriel, Andreas Barthels, Florian Ruf, Hans-Ulrich Michel, Andreas Herkersdorf: ITE-Sim: A Simulator and Power Evaluation Framework for Electric/Electronic Architectures. The 8th IEEE Vehicle Power and Propulsion Conference, IEEE VPPC, 2012 mehr… BibTeX Volltext (mediaTUM)