2 papers
cs.CV2025
Data Quality Matters: Quantifying Image Quality Impact on Machine Learning Performance
Christian Steinhauser, Philipp Reis, Hubert Padusinski +2
Precise perception of the environment is essential in highly automated driving systems, which rely on machine learning tasks such as object detection and segmentation. Compression…
cs.SE2024
GOOSE: Goal-Conditioned Reinforcement Learning for Safety-Critical Scenario Generation
Joshua Ransiek, Johannes Plaum, Jacob Langner +1
Scenario-based testing is considered state-of-the-art for verifying and validating Advanced Driver Assistance Systems (ADASs) and Automated Driving Systems (ADSs). However, the pra…