4 papers · 1 filter
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…
Collision Probability Estimation for Optimization-based Vehicular Motion Planning
Leon Tolksdorf, Arturo Tejada, Christian Birkner +1
Many motion planning algorithms for automated driving require estimating the probability of collision (POC) to account for uncertainties in the measurement and estimation of the mo…
Comparison of Localization Algorithms between Reduced-Scale and Real-Sized Vehicles Using Visual and Inertial Sensors
Tobias Kern, Leon Tolksdorf, Christian Birkner
Physically reduced-scale vehicles are emerging to accelerate the development of advanced automated driving functions. In this paper, we investigate the effects of scaling on self-l…
Fast Collision Probability Estimation for Automated Driving using Multi-circular Shape Approximations
Leon Tolksdorf, Christian Birkner, Arturo Tejada +1
Many state-of-the-art methods for safety assessment and motion planning for automated driving require estimation of the probability of collision (POC). To estimate the POC, a shape…