Edwin Kreuzer
Hamburg University of Technology
Network
Latest external collaboration on country level. Dive into details by clicking on the dots.
Publication
Featured researches published by Edwin Kreuzer.
advances in computing and communications | 2017
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
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
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
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
Wallace M. Bessa; Edwin Kreuzer; Johann Lange; Marc-André Pick; Eugen Solowjow
international conference on robotics and automation | 2016
Andreas René Geist; Axel Hackbarth; Edwin Kreuzer; Viktor Rausch; Michael Sankur; Eugen Solowjow
\mu
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
A. René Geist; Andreas Hansen; Eugen Solowjow; Shun Yang; Edwin Kreuzer
Pamm | 2015
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
Daniel-André Duecker; Axel Hackbarth; Tobias Johannink; Edwin Kreuzer; Eugen Solowjow
international conference on robotics and automation | 2018
Gerrit Brinkmann; Wallace M. Bessa; Daniel-André Duecker; Edwin Kreuzer; Eugen Solowjow
\mu