1 citations · 1 across the 2 of their papers we have counts for
3 papers
Prediction Horizon Requirements for Automated Driving: Optimizing Safety, Comfort, and Efficiency
Manuel Muñoz Sánchez, Chris van der Ploeg, Robin Smit +3
Predicting the movement of other road users is beneficial for improving automated vehicle (AV) performance. However, the relationship between the time horizon associated with these…
Scenario Extraction from a Large Real-World Dataset for the Assessment of Automated Vehicles
Detian Guo, Manuel Muñoz Sánchez, Erwin de Gelder +1
Many players in the automotive field support scenario-based assessment of automated vehicles (AVs), where individual traffic situations can be tested and, thus, facilitate concludi…
Robustness Benchmark of Road User Trajectory Prediction Models for Automated Driving
Manuel Muñoz Sánchez, Emilia Silvas, Jos Elfring +1
Accurate and robust trajectory predictions of road users are needed to enable safe automated driving. To do this, machine learning models are often used, which can show erratic beh…