Course paper / final thesis, Student placement

Track Verification for Smartphone Users

Starting date

1 April 2019

Duration of contract

6 months


According to the German TVöD 5

Type of employment


"Cutting-edge research requires excellent minds – particularly more females – at all levels. Launch your mission with us and send in your application now!" Prof. Pascale Ehrenfreund - Chair of the DLR Executive Board

Your mission:

In recent years, localization and navigation of people has become a great field of interest. With the widespread use of smartphones a good estimate of the position of its users is provided via GNSS localization. In addition, digital tracks based on this information provided by smartphones are used for the development of novel mobility services and systems. But the positioning with smartphones has the following disadvantages:

1) Smartphone positioning fails sometimes, especially when the user is indoors, in underground environments, or in urban canyons where the GNSS positioning fails.

2) It is not easy to assess the quality of these smartphone tracks in this context. 

In multimodal transportation, transport dynamics vary and the signal fingerprint of the travelled environments changes. In a multimodal scenario, smartphone users are not always walking; alternatively they may be driving a car, riding a bike or using any kind of public transport. In these environments, the quality of the tracks provided by smartphones varies. Positioning in GNSS-denied areas will require a combination of sensors and other information such as road maps in order to overcome positioning service failures. For pedestrian navigation, different pedestrian dead reckoning techniques based on inertial measurements with a sensor located on the pedestrian’s body are separately developed at both, IFSTTAR and DLR. The idea of this master thesis is to benefit from the access to raw data on smartphones to propose new methods for qualifying digital tracks provided by smartphones.

Your mission is to check the plausibility of tracks provided by smartphones. The raw data of the smartphones should be accessed in order to check the output of the smartphone. GNSS raw data as well as inertial data will be collected in order to qualify digital tracks. Your task is to implement algorithms for qualifying the output of the smartphone, where you can take advantage of the expertise in the area of pedestrian navigation at IFSTTAR and DLR. The implemented algorithms shall be tested through several experiments.

The work will be carried out at the GEOLOC Laboratory at IFSTTAR in Nantes in France, in collaboration with DLR.

Your qualifications:

  • excellent knowledge of positioning algorithms (Kalman filter, particle filter)
  • excellent JAVA knowledge
  • good mathematical/signal-processing background
  • independent working

Your benefits:

Look forward to a fulfilling job with an employer who appreciates your commitment and supports your personal and professional development. Our unique infrastructure offers you a working environment in which you have unparalled scope to develop your creative ideas and accomplish your professional objectives. Our human resources policy places great value on a healthy family and work-life-balance as well as equal opportunities for persons of all genders (m/f/non-binary). Individuals with disabilities will be given preferential consideration in the event their qualifications are equivalent to those of other candidates.

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Technical contact

Dr.-Ing. Susanna Kaiser
Institute of Communications and Navigation

Phone: +49 8153 28-2862

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Vacancy 32581

HR department Oberpfaffenhofen

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DLR site Oberpfaffenhofen

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DLR Institute of Communications and Navigation

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