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Dive into the research topics where Edwin Kreuzer is active.

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Featured researches published by Edwin Kreuzer.


advances in computing and communications | 2017

Learning a deep neural net policy for end-to-end control of autonomous vehicles

Viktor Rausch; Andreas Hansen; Eugen Solowjow; Chang Liu; Edwin Kreuzer; J. Karl Hedrick

Deep neural networks are frequently used for computer vision, speech recognition and text processing. The reason is their ability to regress highly nonlinear functions. We present an end-to-end controller for steering autonomous vehicles based on a convolutional neural network (CNN). The deployed framework does not require explicit hand-engineered algorithms for lane detection, object detection or path planning. The trained neural net directly maps pixel data from a front-facing camera to steering commands and does not require any other sensors. We compare the controller performance with the steering behavior of a human driver.


intelligent robots and systems | 2015

HippoCampus: A micro underwater vehicle for swarm applications

Axel Hackbarth; Edwin Kreuzer; Eugen Solowjow

The HippoCampus platform is a low-cost micro autonomous underwater vehicle for swarm robotics research. This paper presents the hardware and software design, the communication link, instrumentation, and control system. The quadrotor design enables the vehicle to perform agile maneuvers in a very confined test tank. Vehicle navigation is based on the on-board sensor suite. Autonomous path following is presented and experimental results are evaluated.


Sensors | 2017

Embedded Spherical Localization for Micro Underwater Vehicles Based on Attenuation of Electro-Magnetic Carrier Signals

Daniel-André Duecker; Andreas René Geist; Michael Hengeler; Edwin Kreuzer; Marc-André Pick; Viktor Rausch; Eugen Solowjow

Self-localization is one of the most challenging problems for deploying micro autonomous underwater vehicles (μAUV) in confined underwater environments. This paper extends a recently-developed self-localization method that is based on the attenuation of electro-magnetic waves, to the μAUV domain. We demonstrate a compact, low-cost architecture that is able to perform all signal processing steps present in the original method. The system is passive with one-way signal transmission and scales to possibly large μAUV fleets. It is based on the spherical localization concept. We present results from static and dynamic position estimation experiments and discuss the tradeoffs of the system.


Autonomous Robots | 2018

Learning environmental fields with micro underwater vehicles: a path integral—Gaussian Markov random field approach

Edwin Kreuzer; Eugen Solowjow

Autonomous underwater vehicles (AUVs) are advancing the state of the art in numerous scientific and commercial applications. The current surge in micro electronics enables the development of small micro AUVs (


international conference on robotics and automation | 2017

Design and Adaptive Depth Control of a Micro Diving Agent

Wallace M. Bessa; Edwin Kreuzer; Johann Lange; Marc-André Pick; Eugen Solowjow


international conference on robotics and automation | 2016

Towards a hyperbolic acoustic one-way localization system for underwater swarm robotics

Andreas René Geist; Axel Hackbarth; Edwin Kreuzer; Viktor Rausch; Michael Sankur; Eugen Solowjow

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Volume 1: Aerospace Applications; Advances in Control Design Methods; Bio Engineering Applications; Advances in Non-Linear Control; Adaptive and Intelligent Systems Control; Advances in Wind Energy Systems; Advances in Robotics; Assistive and Rehabilitation Robotics; Biomedical and Neural Systems Modeling, Diagnostics, and Control; Bio-Mechatronics and Physical Human Robot; Advanced Driver Assistance Systems and Autonomous Vehicles; Automotive Systems | 2017

Data Collection for Robust End-to-End Lateral Vehicle Control

A. René Geist; Andreas Hansen; Eugen Solowjow; Shun Yang; Edwin Kreuzer


Pamm | 2015

Adaptive Fuzzy Sliding Mode Controller and Observer for a Dive Cell

Wallace M. Bessa; Edwin Kreuzer; Ludwig Krumm; Marc-André Pick; Eugen Solowjow

μAUVs) which are expected to gain increasing popularity in industrial applications such as monitoring of liquid-based processes. This paper presents an information theoretic approach for exploration and monitoring of liquid containing tanks with


international conference on robotics and automation | 2018

Micro Underwater Vehicle Hydrobatics: A Submerged Furuta Pendulum

Daniel-André Duecker; Axel Hackbarth; Tobias Johannink; Edwin Kreuzer; Eugen Solowjow


international conference on robotics and automation | 2018

Reinforcement Learning of Depth Stabilization with a Micro Diving Agent

Gerrit Brinkmann; Wallace M. Bessa; Daniel-André Duecker; Edwin Kreuzer; Eugen Solowjow

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Dive into the Edwin Kreuzer's collaboration.

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Eugen Solowjow

Hamburg University of Technology

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Daniel-André Duecker

Hamburg University of Technology

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Wallace M. Bessa

Federal University of Rio Grande do Norte

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Axel Hackbarth

Hamburg University of Technology

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Marc-André Pick

Hamburg University of Technology

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Viktor Rausch

Hamburg University of Technology

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Andreas René Geist

Hamburg University of Technology

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Andreas Hansen

University of California

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A. René Geist

Hamburg University of Technology

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Gerrit Brinkmann

Hamburg University of Technology

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