Thesis - Machine learning based testing of battery and fuel cells
YOUR RESPONSIBILITIES: Development of machine learning methods Implementation of the developed methods into AVL testing pipeline of Batteries and Fuel Cells Overcoming limitations of sparse and out-of-distribution training datasets YOUR PROFILE: Ongoing studie…
Thesis - Machine Learning for the virtual testing of autonomous driving vehicles
YOUR RESPONSIBILITIES: Performance comparison of the Machine Learning methods developed at AVL Identification of the limitations of the Machine Learning methods developed at AVL Analysing the methods by using cognitive testing methods available in the literatu…
Thesis - Machine Learning for the virtual testing of autonomous driving vehicles
Automotive companies are intensively developing automated driving functions and vehicles. Unfortunately, we have already seen severe road accidents involving automated vehicles. Thus, the safety and reliability of autonomous driving vehicles (ADV) need t…
Thesis - Machine Learning methods in the field of ADAS/AD
An autonomous vehicle is a complex cyber-physical system that requires state-of-the-art ML/AI software components and sophisticated hardware equipment to work together. For the application of testing autonomous driving systems under different driving condition…
C++Entwickler für Verkehrstelematik mit Python-Kenntnissen und optionalem SP Machine Learning
Aufgaben Wir suchen C++ - Entwickler / C++ - Entwicklerinnenmit Python-Kenntnissen und Erfahrung in der SW-Produktentwicklung für dieMitarbeit in unseren Verkehrstelematikprojekten.Als Teil des Roadside Solution Teams gestaltest du aktiv unsere Systeme für M…
Thesis - Machine learning based testing of battery and fuel cells
Fitting Physical Models to the test measurements of the Batteries or Fuel Cells are a powerful tool in capturing their inner characteristics. However, the fidelity of the physical model is highly dependent on the set of physical phenomena coved by mathematical…