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2020 – today
- 2024
[c13]Philipp Rigoll, Jacob Langner, Lennart Ries, Eric Sax:
Unveiling Objects with SOLA: An Annotation-Free Image Search on the Object Level for Automotive Data Sets. IV 2024: 1053-1059- [c12]Lukas Ewecker, Niklas Wagner, Tim Brühl, Robin Schwager, Tin Stribor Sohn, Alexander Engelsberger, Jensun Ravichandran, Hanno Stage, Jacob Langner, Sascha Saralajew:
Detecting Oncoming Vehicles at Night in Urban Scenarios - An Annotation Proof-Of-Concept. IV 2024: 2117-2124 - [i2]Joshua Ransiek, Johannes Plaum, Jacob Langner, Eric Sax:
GOOSE: Goal-Conditioned Reinforcement Learning for Safety-Critical Scenario Generation. CoRR abs/2406.03870 (2024) - 2023
- [c11]Hanno Stage, Lukas Ewecker, Jacob Langner, Tin Stribor Sohn, Thomas Villmann, Eric Sax:
Reducing Computer Vision Dataset Size via Selective Sampling. ITSC 2023: 1422-1428 - [i1]Philipp Rigoll, Jacob Langner, Eric Sax:
Unveiling Objects with SOLA: An Annotation-Free Image Search on the Object Level for Automotive Data Sets. CoRR abs/2312.01860 (2023) - 2022
- [c10]Christian Steinhauser, Maciej Boncler, Jacob Langner, Steffen Strebel, Eric Sax:
An Efficient Strategy for Testing ADAS on HiL Test Systems with Parallel Condition-based Assessments. VEHITS 2022: 391-399 - 2021
- [c9]Christian King, Thilo Braun, Constantin Braess, Jacob Langner, Eric Sax:
Capturing the Variety of Urban Logical Scenarios from Bird-view Trajectories. VEHITS 2021: 471-480 - 2020
- [c8]Philip Elspas, Jacob Langner, Michael Aydinbas, Johannes Bach, Eric Sax:
Leveraging Regular Expressions for Flexible Scenario Detection in Recorded Driving Data. ISSE 2020: 1-8 - [c7]Christian King, Lennart Ries, Jacob Langner, Eric Sax:
A Taxonomy and Survey on Validation Approaches for Automated Driving Systems. ISSE 2020: 1-8 - [c6]Jacob Langner, Kai-Lukas Bauer, Marc Holzäpfel, Eric Sax:
A Process Reference Model for the Virtual Application of Predictive Control Features. IV 2020: 1759-1764 - [c5]Jacob Langner, Christian Seiffer, Stefan Otten, Kai-Lukas Bauer, Marc Holzäpfel, Eric Sax:
Qualitative Feature Assessment for Longitudinal and Lateral Control-features. VEHITS 2020: 115-122
2010 – 2019
- 2019
- [c4]Lennart Ries, Jacob Langner, Stefan Otten, Johannes Bach, Eric Sax:
A Driving Scenario Representation for Scalable Real-Data Analytics with Neural Networks. IV 2019: 2215-2222 - [c3]Jacob Langner, Hannes Grolig, Stefan Otten, Marc Holzäpfel, Eric Sax:
Logical Scenario Derivation by Clustering Dynamic-Length-Segments Extracted from Real-World-Driving-Data. VEHITS 2019: 458-467 - 2018
- [c2]Jacob Langner, Johannes Bach, Lennart Ries, Stefan Otten, Marc Holzäpfel, Eric Sax:
Estimating the Uniqueness of Test Scenarios derived from Recorded Real-World-Driving-Data using Autoencoders. Intelligent Vehicles Symposium 2018: 1860-1866 - 2017
- [c1]Johannes Bach, Jacob Langner, Stefan Otten, Eric Sax, Marc Holzäpfel:
Test scenario selection for system-level verification and validation of geolocation-dependent automotive control systems. ICE/ITMC 2017: 203-210
Coauthor Index
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