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Afstudeeropdracht - WO - Toegepaste Wiskunde, Elektrotechniek, Natuurkunde. Improvement of Multiple Hypotheses Tracking Algorithm

ID de l'offre R0064541 Date de publication 09/08/2019 Lieu: Hengelo, Overijssel, Netherlands
Full time, Stage
In fast changing markets, customers worldwide rely on Thales. Thales is a business where brilliant people from all over the world come together to share ideas and inspire each other. In aerospace, transportation, defence, security and space, our achitects design innovative solutions that make our tomorrow's possible.

Afstudeeropdracht - WO

Studierichting(en): Toegepaste Wiskunde, Elektrotechniek, Natuurkunde

Titel van de opdracht: Improvement of Multiple Hypotheses Tracking Algorithm

About us

With 80.000 talents working in 68 countries, we are one of the biggest high-tech employers in the field of safety and security. In the Netherlands, where 2000 employees are based, we are located in four cities: Huizen, Delft, Eindhoven and Hengelo (HQ). Together with an extensive ecosystem of knowledge partners, customers and suppliers, we work on radars for naval vessels, cyber security solutions, transportation systems, communication equipment for land forces, cryogenic cooling solutions, research & development for radar tech (in collaboration with TU Delft).


The cluster System Engineering is, among others, responsible for the development of signal and data processing techniques for radar and electro-optical sensors for naval applications.

About the assignment

Current radar systems gather a lot of information of the space around the system. These systems become more and more sensitive, which means that more targets are detected and that filtering becomes even more important. Our tracking algorithm, based on Extended Kalman filtering, provides the user tracks of targets that are seen by the radar.

In addition, this increasing number of detections leads to a more complex data association problem that can be solved using an assignment algorithm known from literature. A technique known as Multiple Hypotheses Tracking (MHT) provides a method to consider all possible assignments and decides which possibility is the best. However, mainly because of load reasons, MHT cannot consider the full decision tree that is made from all existing plots.

Over time, improvements of MHT have been developed. These extensions of MHT enable the tracking algorithm to maintain more hypotheses when needed in order to make the correct assignments. Recent experiences have shown that simply allowing more hypotheses does not always provide the correct outcome.

In this assignment you will study alternatives for making MHT smarter in order to handle a higher plot density.

Based on this investigation, an algorithm will be developed, implemented and evaluated such that the alternatives can be analyzed.

Affinity

Assignment Algorithms, Operations Research, (Matlab) programming

Thales offers…

  • An interesting internship or graduation assignment in an international high tech environment
  • An open and flexible working environment;
  • An excellent internship allowance
  • Its own student association where you can participate in educational and fun activities.

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Direct solliciteren? Gebruik dan je eigen, persoonlijke profiel om jouw interesse aan ons kenbaar te maken en kies voor ‘Apply now’.

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Please keep in mind that we can only consider students who are enrolled at a school or educational institution during the whole internship period for our internships and graduation assignments.

At Thales we provide CAREERS and not only jobs. With Thales employing 80,000 employees in 68 countries our mobility policy enables thousands of employees each year to develop their careers at home and abroad, in their existing areas of expertise or by branching out into new fields. Together we believe that embracing flexibility is a smarter way of working. Great journeys start here, apply now!


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