Lennart Ries
Center for Information Technology
16 Papers
5 Citations
Lennart Ries is an academic researcher from Center for Information Technology. The author has contributed to research in topics: Computer science & Autoencoder. The author has an hindex of 3, co-authored 7 publications. Previous affiliations of Lennart Ries include Forschungszentrum Informatik.
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Papers
Estimating the Uniqueness of Test Scenarios derived from Recorded Real-World-Driving-Data using Autoencoders
Jacob Langner,Johannes Bach,Lennart Ries,Stefan Otten,Marc Holzapfel,Eric Sax +5 more
- 26 Jun 2018
TL;DR: An automated selection algorithm for test scenarios based on relevant environmental parameters is presented, and the achieved testset reduction and thereby the saving potential in simulation time is demonstrated on a dataset including several thousand test kilometers.
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A Driving Scenario Representation for Scalable Real-Data Analytics with Neural Networks
Lennart Ries,Jacob Langner,Stefan Otten,Johannes Bach,Eric Sax +4 more
- 09 Jun 2019
TL;DR: In this paper, a representation of a scenario is defined as a top-view grid, comprising the dynamic objects and the static environment, thereby allowing a consistent interpretation of all relevant aspects of a driving scenario.
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A Taxonomy and Survey on Validation Approaches for Automated Driving Systems
Christian King,Lennart Ries,Jacob Langner,Eric Sax +3 more
- 12 Oct 2020
TL;DR: A broad survey on established validation approaches as well as research in this area is presented and a comprehensive taxonomy for classifying validation approaches is given, providing a structured view on available validation approaches and can serve as a tool that supports the selection of validation approaches considering given constraints.
10
Towards a Data Engineering Process in Data-Driven Systems Engineering
Patrick Petersen,Hanno Stage,Jacob Langner,Lennart Ries,Philipp Rigoll,Carl Philipp Hohl,Eric Sax +6 more
- 24 Oct 2022
TL;DR: In this article , the authors proposed a data engineering process in data-driven automotive systems engineering (ASE), which aims to take a step towards the introduction of a Data Engineering process in Data-Driven Automotive Systems Engineering.
10
Trajectory-Based Clustering of Real-World Urban Driving Sequences with Multiple Traffic Objects
Lennart Ries,Philipp Rigoll,Thilo Braun,Thomas Schulik,Johannes Daube,Eric Sax +5 more
- 19 Sep 2021
TL;DR: In this article, a clustering method for grouping real-world driving sequences into semantically similar sequences is introduced, which allows to deal with the complexity due to the varying number of traffic objects and different sequence lengths and can provide insights over realworld probabilities of driving scenarios.
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