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Scientific activities / projects

Conception and further development of robust algorithms for traffic data acquisition using Deep Learning methods

Starting date

immediately

Duration of contract

3 years

Remuneration

up to the German TVöD 13

Type of employment

Full-time

The Remote Sensing Technology Institute has developed real-time airborne camera and processing systems for rapid mapping and traffic monitoring application since 2007. The main research task focuses on digital camera systems (3K-, 4k-system), which in combination with an on-board computer unit for processing, a ground station and a powerful data link, enable real-time data evaluation for traffic, infrastructure and situation assessment. In a further step, a camera system for the EC 135 helicopter has been developed including hard- and software, which must be developed to market maturity for the purpose of transferring the technology to an industrial partner. This is being done as part of the FAIRS (Fast airborne situation assessment) project.

The main task is the further development of the processing chain for real-time processing of aerial image data from the 4k camera system on board the helicopter and at the ground station. In this context, the modules for traffic data acquisition from aerial image sequences are to be updated to the latest methods from the field of machine learning.

Your responsibilities will include:

  • conception and further development of robust algorithms for traffic data acquisition using Deep Learning methods.
  • revision of the whole processing chain with regard to: integration of the latest DL algorithms for traffic detection, considering DLR quality standards
  • transferring air-to-ground data transmission to LTE standard
  • conception and execution of test campaigns to test the developed procedures
  • design and development of software for sensor operators including user interfaces
  • development of a prototypical web service (WMS based) with web access (OpenLayers based) to display and distribute the acquired data
  • optimization of data processing at the ground station
  • programming of GUIs for the operation of the camera system and the ground station
  • documentation of the software chain and writing of user manuals
  • preparation of scientific publications and reports
  • instruction of technology partners in the operation and maintenance of the camera system

Your qualifications:

  • scientific study in computer science, geodesy, electrical engineering, physics or a related discipline
  • very good knowledge of C/C++
  • knowledge of at least one of the following programming languages: Java, Python, CUDA
  • knowledge of the development environments: Visual Studio, Linux
  • experience in programming GUIs
  • good knowledge of English and German
  • experience in the field of quality assurance is desirable
  • interest in flying and no fear of flying are an advantage

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 unparalleled 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 (f/m/x). 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

Prof. Dr.-Ing. Peter Reinartz
Institute of Remote Sensing Technology

Phone: +49 8153 28-2757

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Vacancy 58289

HR department Oberpfaffenhofen

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DLR site Oberpfaffenhofen

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DLR Remote Sensing Technology Institute

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