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cs.RO2024
Behavior Forests: Real-Time Discovery of Dynamic Behavior for Data Selection
Philipp Reis, Philipp Rigoll, Eric Sax
Automated Driving Systems (ADS) development relies on utilizing real-world vehicle data. The volume of data generated by modern vehicles presents transmission, storage, and computa…
cs.RO2024
The Machine Vision Iceberg Explained: Advancing Dynamic Testing by Considering Holistic Environmental Relations
Hubert Padusinski, Christian Steinhauser, Thilo Braun +2
Machine Vision (MV) is essential for solving driving automation. This paper examines potential shortcomings in current MV testing strategies for highly automated driving (HAD) syst…