Philip Elspas

According to our database, Philip Elspas authored at least 6 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Towards Scenario Retrieval of Real Driving Data with Large Vision-Language Models.

Tin Stribor Sohn, Maximilian Dillitzer, Lukas Ewecker, Tim Brühl, Robin Schwager, Lena Dalke, Philip Elspas, Frank Oechsle, Eric Sax

Proceedings of the 10th International Conference on Vehicle Technology and Intelligent Transport Systems, 2024

2022

Towards a Scenario Database from Recorded Driving Data with Regular Expressions for Scenario Detection.

Philip Elspas, Jonas Lindner, Mathis Brosowsky, Johannes Bach, Eric Sax

Proceedings of the 8th International Conference on Vehicle Technology and Intelligent Transport Systems, 2022

2021

Time Series Segmentation for Driving Scenario Detection with Fully Convolutional Networks.

Philip Elspas, Yannick Klose, Simon T. Isele, Johannes Bach, Eric Sax

Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, 2021

Joint Vehicle Trajectory and Cut-In Prediction on Highways using Output Constrained Neural Networks.

Mathis Brosowsky, Paul Orschau, Olaf Dünkel, Philip Elspas, Daniel Slieter, Marius Zöllner

Proceedings of the IEEE Symposium Series on Computational Intelligence, 2021

2020

Leveraging Regular Expressions for Flexible Scenario Detection in Recorded Driving Data.

Philip Elspas, Jacob Langner, Michael Aydinbas, Johannes Bach, Eric Sax

Proceedings of the IEEE International Symposium on Systems Engineering, 2020

2019

Neural Networks for End-to-End Refinement of Simulated Sensor Data for Automotive Applications.

Jörn Thieling, Philip Elspas, Jürgen Roßmann

Proceedings of the 2019 IEEE International Systems Conference, 2019