My MSc thesis topic got approved. Nothing of interest to LW (EE, control systems engineering), but finishing it by the end of this year will allow me to get into a subsidised machine learning/big data PhD course.
Please feel free to elaborate on your thesis. Control systems engineering sounds a lot like shaping an environment to achieve goals through a rational process. Something we are interested in.
The working title is “an imaging- and odometry-based localisation and guidance system for land autonomous systems”. The abstract, translated:
Autonomous land-traversing robots are faced with the problem of accurately determining their position in order to plan the route to their targets. The thesis presents an approach to solving the positioning problem in an environment where neither local odometry, global positioning nor image recognition individually provide sufficient data for accurate position determination. The effectiveness of several strategies for using each data source as a source of information on the agent’s position and the positions of obstacles are evaluated, as is the effectiveness of different methods for combining information sources for increased accuracy. Based on simulation results, selected solutions are implemented and tested in real robots in a realistic testing environment.
My MSc thesis topic got approved. Nothing of interest to LW (EE, control systems engineering), but finishing it by the end of this year will allow me to get into a subsidised machine learning/big data PhD course.
Please feel free to elaborate on your thesis. Control systems engineering sounds a lot like shaping an environment to achieve goals through a rational process. Something we are interested in.
The working title is “an imaging- and odometry-based localisation and guidance system for land autonomous systems”. The abstract, translated: