3 papers
cs.RO2026
A Causal Probabilistic Framework for Perception-Informed Closed-Loop Simulation of Autonomous Driving
Zhennan Fei, Rickard Johansson, Mikael Andersson +12
Software-in-the-loop (SIL) simulation is a cornerstone for the validation of modern automotive safety functions. However, many current frameworks utilize ideal sensing, which bypas…
cs.RO2025
What Did I Learn? Operational Competence Assessment for AI-Based Trajectory Planners
Michiel Braat, Maren Buermann, Marijke van Weperen +1
Automated driving functions increasingly rely on machine learning for tasks like perception and trajectory planning, requiring large, relevant datasets. The performance of these al…
cs.LG2024
LiMTR: Time Series Motion Prediction for Diverse Road Users through Multimodal Feature Integration
Camiel Oerlemans, Bram Grooten, Michiel Braat +3
Predicting the behavior of road users accurately is crucial to enable the safe operation of autonomous vehicles in urban or densely populated areas. Therefore, there has been a gro…