12 citations · 16 across the 13 of their papers we have counts for
4 papers · 1 filter
The Safety Shell: an Architecture to Handle Functional Insufficiencies in Automated Driving
C. A. J. Hanselaar, E. Silvas, A. Terechko +1
To enable highly automated vehicles where the driver is no longer a safety backup, the vehicle must deal with various Functional Insufficiencies (FIs). Thus-far, there is no widely…
Overcoming the Fear of the Dark: Occlusion-Aware Model-Predictive Planning for Automated Vehicles Using Risk Fields
Chris van der Ploeg, Truls Nyberg, José Manuel Gaspar Sánchez +2
As vehicle automation advances, motion planning algorithms face escalating challenges in achieving safe and efficient navigation. Existing Advanced Driver Assistance Systems (ADAS)…
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…
Optimization-based Fault Mitigation for Safe Automated Driving
Niels Lodder, Chris van der Ploeg, Laura Ferranti +1
With increased developments and interest in cooperative driving and higher levels of automation (SAE level 3+), the need for safety systems that are capable to monitor system healt…