Sökning: "robustness of model predictions"
Visar resultat 16 - 20 av 25 avhandlingar innehållade orden robustness of model predictions.
16. Interaction and Uncertainty-Aware Motion Planning for Autonomous Vehicles Using Model Predictive Control
Sammanfattning : Motion planning plays a significant role in enabling advances of autonomous vehicles in saving lives and improving traffic efficiency. In a predictive motion-planning strategy, the ego vehicle predicts the motion of surrounding vehicles and uses these predictions to plan collision-free reference trajectories. LÄS MER
17. Computational Analysis of Heat Transfer and Fluid Flow with Relevance for IC-Engine Cooling
Sammanfattning : Modern IC-engines produce more power per displaced volume and operate at higher combustion pressures and temperatures. In addition, engine structure materials such as aluminium and magnesium alloys, which are more sensitive to thermal loads, are more commonly used. LÄS MER
18. Learning Representations for Segmentation and Registration
Sammanfattning : In computer vision, the aim is to model and extract high-level information from visual sensor measurements such as images, videos and 3D points. Since visual data is often high-dimensional, noisy and irregular, achieving robust data modeling is challenging. LÄS MER
19. Resin transfer moulded composite materials : processing, structure, property relationships
Sammanfattning : This thesis contains analysis of the performance of polymer composites manufactured by resin transfer moulding (RTM). The thesis consists of six papers, where the first two deals with the tensile strength of composites reinforced with randomly oriented glass fibres, which still is the most common reinforcement in RTM manufacturing. LÄS MER
20. Core-box Modelling - Theoretical Contributions and Applications to Glucose Homeostasis Related Systems
Sammanfattning : The study of biological systems through a combination of in vitro characterisations, quantitative in vivo experiments, and mathematical modelling, is receiving an increasingly growing interest through the field system biology. Systems biology uses methods from many different research fields, but the existing methods need to be extended and adapted to fit the new situations. LÄS MER