6 papers
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…
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…
Predicting the Influence of Adverse Weather on Pedestrian Detection with Automotive Radar and Lidar Sensors
Daniel Weihmayr, Fatih Sezgin, Leon Tolksdorf +2
Pedestrians are among the most endangered traffic participants in road traffic. While pedestrian detection in nominal conditions is well established, the sensor and, therefore, the…