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A method of determining the distance of an object from an automated vehicle based on images taken by a monocular image acquiring device. The object is recognized with an object-class by means of an image processing system. Respective position data are determined from the images using a pinhole camera model based on the object-class. Position data indicating in world coordinates the position of a reference point of the object with respect to the plane of the road is used with a scaling factor of the pinhole camera model estimated by means of a Bayes estimator using the position data as observations and under the assumption that the reference point of the object is located on the plane of the road with a predefined probability. The distance of the object from the automated vehicle is calculated from the estimated scaling factor using the pinhole camera model.
Onboarding
(2018)
Führungskräfte als Coach
(2018)
Medien, Design und Demenz
(2018)
Wear it or fear it: exploration of drivers & barriers in smartwatch acceptance by senior citizens
(2018)
Preface
(2018)
Skateboard Studies
(2018)
Skateboarding is not immediately associated with university research projects. It is first and foremost a physical activity, and no scholarly approach can substitute for the empirical knowledge gained through the act of skateboarding itself - the movement of the body with and on a skateboard. Nevertheless, the theoretical implications of this movement and its spatial, cultural, and social settings are ripe for exploration within a number of different academic disciplines. The publication provides a comprehensive insight into these discourses. Since skateboarding can influence and touch upon so many aspects of our everyday life through its unique appropriation of and relation to the urban environment, the theoretical reflections and discursive explorations it triggers can alter the way we think and move.
Asset management for distribution networks with high penetration of distributed energy resources
(2018)
BrainCharting
(2018)