Machine Learning for Yaw-Rate Prediction in Agricultural Vehicles
- Institut
- Lehrstuhl für Agrarmechatronik (WZW)
- Typ
- Semesterarbeit Masterarbeit
- Inhalt
- experimentell theoretisch
- Beschreibung
For various applications, it is necessary to know the future yaw-rate of the vehicle in advance. In many cases, this is not easily available. We want to explore options to estimate this value with Machine Learning, for example using Recurrent Neural Networks.
- Voraussetzungen
- A Bachelor’s level university degree
- Experience with Machine and Deep Learning
- An Interest in Agricultural Machinery
- Möglicher Beginn
- sofort
- Kontakt
-
Lukas Pindl
lukas.pindltum.de - Ausschreibung
-