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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)
3-2-1 Methode
(2018)
Appreciative Inquiry
(2018)
BrainRace
(2018)
BrainStation
(2018)
Future Quickies
(2018)
BrainShaping
(2018)
Effectuation
(2018)
Graphic Recording
(2018)
Ideenkultur
(2018)
iLounge
(2018)
In Bewegung kommen
(2018)
innovationCube
(2018)
FlowTeam-Methode
(2018)
FlowBoard
(2018)
Ein Kind wills wissen
(2018)
Perspektive wechseln
(2018)
NetScouting
(2018)
Lean Startup
(2018)
Lead-User-Methode
(2018)
LavaLamping
(2018)
Kreativteam-Checkup
(2018)
Pretotyping
(2018)
Promotorenmodell
(2018)
Rapid Product Development
(2018)
Skulptur-Technik
(2018)
Stage-Gate®-Modell
(2018)
Szenariotechnik
(2018)
Tour de Idée
(2018)
Trendscouting
(2018)
Waltons-Prinzip
(2018)
WhiteBlock
(2018)
Bürgerbewegung PRO NRW
(2018)
Multi-level hp-finite cell method for embedded interface problems with application in biomechanics
(2018)
This work presents a numerical discretization technique for solving 3-dimensional material interface problems involving complex geometry without conforming mesh generation. The finite cell method (FCM), which is a high-order fictitious domain approach, is used for the numerical approximation of the solution without a boundary-conforming mesh. Weak discontinuities at material interfaces are resolved by using separate FCM meshes for each material sub-domain and weakly enforcing the interface conditions between the different meshes. Additionally, a recently developed hierarchical hp-refinement scheme is used to locally refine the FCM meshes to resolve singularities and local solution features at the interfaces. Thereby, higher convergence rates are achievable for nonsmooth problems. A series of numerical experiments with 2- and 3-dimensional benchmark problems is presented, showing that the proposed hp-refinement scheme in conjunction with the weak enforcement of the interface conditions leads to a significant improvement of the convergence rates, even in the presence of singularities. Finally, the proposed technique is applied to simulate a vertebra-implant model. The application showcases the method's potential as an accurate simulation tool for biomechanical problems involving complex geometry, and it demonstrates its flexibility in dealing with different types of geometric description.