Raphael Voges

Raphael Voges
  • Dr.-Ing.
  • Research Assistant at Leibniz Universität Hannover

About

12
Publications
4,120
Reads
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120
Citations
Introduction
I am the Postdoc of the DFG-funded Research Training Group “Integrity and Collaboration in Dynamic Sensor Networks” (i.c.sens) and the Real Time Systems Group (RTS) at the Leibniz University Hannover. My main focus is on the robustness and integrity of autonomous vehicles, which requires us to model sensor errors appropriately and to consider the worst case scenario at all times.
Current institution
Leibniz Universität Hannover
Current position
  • Research Assistant
Education
October 2014 - October 2016
Leibniz Universität Hannover
Field of study
  • Computer Science
October 2011 - September 2014
Leibniz Universität Hannover
Field of study
  • Computer Science

Publications

Publications (12)
Article
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Conference Paper
Full-text available
© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted compo...
Thesis
Full-text available
With the advent of autonomous driving, the localization of mobile robots, especially without GNSS information, is becoming increasingly important. It must be ensured that the localization works robustly and timely warnings are provided if the pose estimates are too uncertain to assure a safe operation of the system. To meet these requirements, auto...
Article
Full-text available
In this paper, we show that a practical need for synchronization of localization sensors leads to an interval-uncertainty problem. In principle, this problem can be solved by using the general linear programming algorithms, but this would take a long time - and this time is not easy to decrease, e.g., by parallelization since linear programming is...
Article
Full-text available
In many practical applications ranging from self-driving cars to industrial application of mobile robots, it is important to take interval uncertainty into account when performing odometry, i.e., when estimating how our position and orientation (‘pose’) changes over time. In particular, one of the important aspects of this problem is detecting mism...
Conference Paper
Full-text available
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted compo...
Article
Full-text available
Global Navigation Satellite Systems (GNSS) deliver absolute position and velocity, as well as time information (P, V, T). However, in urban areas, the GNSS navigation performance is restricted due to signal obstructions and multipath. This is especially true for applications dealing with highly automatic or even autonomous driving. Subsequently, mu...
Article
Full-text available
Multi-sensor systems are widely used for robotics applications. While additional sensors can increase the accuracy and robustness of the solution, it is inevitable to synchronize them in order to rely on the results. For our multi-sensor system consisting of an actuated laser scanner, its motor and a camera, we assume that the timestamps are only d...
Article
Full-text available
Motor actuated 2D laser scanners are key sensors for many robotics applications that need wide ranging but low cost 3D data. There exist many approaches on how to build a 3D laser scanner using this technique, but they often lack proper synchronization for the timestamps of the actuator and the laser scanner. However, to transform the measurement p...
Conference Paper
Full-text available
In many areas we find cyber-physical systems consisting of multiple software-controlled components that communicate to control complex physical processes. As customers demand increasingly rich func-tionality, the component interactions become more and more complex. We are developing a formal scenario-based method for specifying the inter-component...

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