Monday, December 18, 2023
AI-based method for determining vehicle conditions using acoustic data
Topic and Goal of the Thesis
L-category vehicles cause high noise emissions. In order to analyze the noise emissions of these vehicles, noise-intensive driving styles are to be identified by means of acoustic recordings. The aim of this work is to develop an AI-based approach that uses recorded noise data to draw conclusions about vehicle conditions, such as engine speed. An essential part of this work consists of processing the recorded data on the software side and implementing a suitable AI-based approach.
Working Points
- Literature research and familiarization with the state of the art
- Software development of an AI-based method for detecting vehicle conditions using acoustic data
- Application and evaluation of the developed approach
Requirements
- Very good knowledge of German and/or English
- Reliability. Commitment and independent working attitude
- Programming skills are an advantage
Note: Please attach brief resume and grade summary.
Contact
Carina Diemel M. Sc.
+49 241 80 23892
Email
Type of work
Bachelorarbeit, Masterarbeit
Start
earliest date possible
Prior knowledge
MATLAB or Python
Language
Deutsch, Englisch
Research area
Fahrdynamik & Akustik