14 citations · 16 across the 28 of their papers we have counts for
3 papers · 1 filter
Uncertainty-based perturb and observe for data-driven optimization
Leontine Aarnoudse, Mark Haring, Nathan van de Wouw +1
Data-based adaptive optimization methods hold great promise for the performance optimization of uncertain, time-varying processes. However, current methods are often based on conti…
Considering Perspectives for Automated Driving Ethics: Collective Risk in Vehicular Motion Planning
Leon Tolksdorf, Arturo Tejada, Christian Birkner +1
Recent automated vehicle (AV) motion planning strategies evolve around minimizing risk in road traffic. However, they exclusively consider risk from the AV's perspective and, as su…
Risk Estimation for Automated Driving
Leon Tolksdorf, Arturo Tejada, Jonas Bauernfeind +2
Safety is a central requirement for automated vehicles. As such, the assessment of risk in automated driving is key in supporting both motion planning technologies and safety evalu…