2 papers
cs.SE2025
Data Annotation Quality Problems in AI-Enabled Perception System Development
Hina Saeeda, Tommy Johansson, Mazen Mohamad +1
Data annotation is essential but highly error-prone in the development of AI-enabled perception systems (AIePS) for automated driving, and its quality directly influences model per…
cs.CV2023
Graph Convolutional Networks for Complex Traffic Scenario Classification
Tobias Hoek, Holger Caesar, Andreas Falkovén +1
A scenario-based testing approach can reduce the time required to obtain statistically significant evidence of the safety of Automated Driving Systems (ADS). Identifying these scen…