Lennart Ries

According to our database1, Lennart Ries authored at least 14 papers between 2018 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
CLIPping the Limits: Finding the Sweet Spot for Relevant Images in Automated Driving Systems Perception Testing.
CoRR, 2024

The Machine Vision Iceberg Explained: Advancing Dynamic Testing by Considering Holistic Environmental Circumstances.
CoRR, 2024

Unveiling Objects with SOLA: An Annotation-Free Image Search on the Object Level for Automotive Data Sets.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024

2023
Focus on the Challenges: Analysis of a User-friendly Data Search Approach with CLIP in the Automotive Domain.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

A Review of Scenario Similarity Measures for Validation of Highly Automated Driving.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2023

2022
Scalable Data Set Distillation for the Development of Automated Driving Functions.
Proceedings of the 25th IEEE International Conference on Intelligent Transportation Systems, 2022

Maneuver-based Visualization of Similarities between Recorded Traffic Scenarios.
Proceedings of the 11th International Conference on Data Science, 2022

2021
Collection of Requirements and Model-based Approach for Scenario Description.
Proceedings of the 7th International Conference on Vehicle Technology and Intelligent Transport Systems, 2021

Trajectory-Based Clustering of Real-World Urban Driving Sequences with Multiple Traffic Objects.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021

2020
Semantic Comparison of Driving Sequences by Adaptation of Word Embeddings.
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020

A Taxonomy and Survey on Validation Approaches for Automated Driving Systems.
Proceedings of the IEEE International Symposium on Systems Engineering, 2020

2019
A Driving Scenario Representation for Scalable Real-Data Analytics with Neural Networks.
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019

Automated Function Assessment in Driving Scenarios.
Proceedings of the 12th IEEE Conference on Software Testing, Validation and Verification, 2019

2018
Estimating the Uniqueness of Test Scenarios derived from Recorded Real-World-Driving-Data using Autoencoders.
Proceedings of the 2018 IEEE Intelligent Vehicles Symposium, 2018


  Loading...