AI based monitoring function for a prototype

The increasing use of software in vehicles means that ever greater volumes of data have to be processed, and more computationally intensive tasks can also be outsourced to the back end. This is particularly useful for data-driven function development.
In the U-Shift project(https://s.kit.edu/u-shift), a monitoring function is to be trained with the accruing data in the backend at the vehicle's test time and then executed in the vehicle during the demonstration phase.

Objectives:

• System design for data-driven monitoring function.
• Comparison of different learning approaches and rule-based development
• Implementation and testing on a prototype
• Integration test and evaluation of the overall system

Prerequisites:

• Knowledge in programming (C++/Python)
• Knowledge in machine learning
• Enthusiasm for vehicle electronics and mobility of tomorrow