Friday, July 08, 2022

Systematic Identification and Extraction of Edge Cases from big driving datasets Topic

Topic and Goal of the Thesis

The development of automated driving has progressed towards a point where the public testing is conceivable. To some extent it is already underway. The most situations, which occur on roads, have already been classified. However, there are still situations which are not yet logged or happen on rare occasions. These are often referred to as edge cases. In this thesis, a conclusive concept for the handling and extraction of edge cases is to be defined based on a given definition of the term.

Working Points

  • Literature research on definitions, meaning and handling of edge cases in various fields
  • Development of a (modular) concept for the systematic identification and extraction of edge cases from driving data
  • Implementation of the concept and exemplary execution using given datasets captured in real traffic
  • Documentation of the results
  • Co-authorship of a scientific paper on the topic

Requirements

  • Programming experience with Python (and C++ if possible)
  • Experience in the field of big data would be good
  • Good English or German language skills
  • Reliability and enjoyment of working independently

Note: Please attach brief resume and grade summary.

Contact

Lennart Vater M.Sc.
+49 241 80 23891
Email

Type of work

Masterarbeit

Start

Earliest possible date

Prior knowledge

Python and C++

Language

Deutsch, Englisch

Research area

Fahrzeugintelligenz & Automatisiertes Fahren

Download

Address

Institute for Automotive Engineering
RWTH Aachen University
Steinbachstraße 7
52074 Aachen · Germany

office@ika.rwth-aachen.de
+49 241 80 25600

We use cookies on our website. Some of them are essential for the operation of the site, while others help us to improve this site and the user experience (tracking cookies). You can decide for yourself whether you want to allow cookies or not. Please note that if you reject them, you may not be able to use all the functionalities of the site.