Jacob Langner

Publication Activity (10 Years)

Years Active: 2017-2024
Publications (10 Years): 15

Top Topics

Predictive Control

Web Image Search

Selective Sampling

Top Venues

Publications

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)
Joshua Ransiek, Johannes Plaum, Jacob Langner, Eric Sax
GOOSE: Goal-Conditioned Reinforcement Learning for Safety-Critical Scenario Generation. CoRR (2024)
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)
Philipp Rigoll, Jacob Langner, Eric Sax
Unveiling Objects with SOLA: An Annotation-Free Image Search on the Object Level for Automotive Data Sets. CoRR (2023)
Hanno Stage, Lukas Ewecker, Jacob Langner, Tin Stribor Sohn, Thomas Villmann, Eric Sax
Reducing Computer Vision Dataset Size via Selective Sampling. ITSC (2023)
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)
Christian King, Thilo Braun, Constantin Braess, Jacob Langner, Eric Sax
Capturing the Variety of Urban Logical Scenarios from Bird-view Trajectories. VEHITS (2021)
Christian King, Lennart Ries, Jacob Langner, Eric Sax
A Taxonomy and Survey on Validation Approaches for Automated Driving Systems. ISSE (2020)
Jacob Langner, Kai-Lukas Bauer, Marc Holzäpfel, Eric Sax
A Process Reference Model for the Virtual Application of Predictive Control Features. IV (2020)
Philip Elspas, Jacob Langner, Michael Aydinbas, Johannes Bach, Eric Sax
Leveraging Regular Expressions for Flexible Scenario Detection in Recorded Driving Data. ISSE (2020)
Jacob Langner, Christian Seiffer, Stefan Otten, Kai-Lukas Bauer, Marc Holzäpfel, Eric Sax
Qualitative Feature Assessment for Longitudinal and Lateral Control-features. VEHITS (2020)
Lennart Ries, Jacob Langner, Stefan Otten, Johannes Bach, Eric Sax
A Driving Scenario Representation for Scalable Real-Data Analytics with Neural Networks. IV (2019)
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)
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)
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)