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Master Thesis - Driver monitoring camera-based collision avoidance algorithms

Background 

Recent advances in machine learning, sensor technology and computational power have led to availability of cheap driver monitoring camera (DMC) systems (DMS). The ability to accurately determine intended actions and awareness of road threats based on driver’s eye, head, and gaze data will be crucial for Active Safety systems to provide better situational awareness and ultimately a safer journey.

 

Project Description 

This project focuses on the development of a threat-assessment and decision-making algorithm for collision avoidance, leveraging DMC-based metrics representing the drivers’ awareness. This awareness levels can be used to, for example, brake in advance with respect to unseen obstacles, or to keep the vehicle in lane in case of unintended lateral departures.


Qualifications 

  • A highly motivated student from a master program on Electrical Engineering, Mechatronics, Computer Science or any pertinent domain, with an interest in control algorithms and data analysis.
  • The ideal candidate should have interest in both the theoretical and experimentation aspects of the problem.
  • Solid programming skills are required. Experience with MATLAB is an asset.
  • Effective communication skills in English both in oral and written.

The thesis students will gain competences on

  • Modeling driver’s behavior and its influence on driving
  • Developing threat assessment algorithms with market leading technology
  • Automotive engineering

 

Further information

Final application date: 15 November 2020

Please send in individual applications with CV, motivational letter and grade transcripts. If you wish to partner with someone, simply note that in your application. 

Planned start: 15 January 2020 with some flexibility. 

Duration: 30 ECTS 

For questions regarding the project, please Contact:

Gabriel Campos (gabriel.campos@zenuity.com, +46 7 288 95 50)


Or, know someone who would be a perfect fit? Let them know!

Gothenburg, Sweden

Lindholmspiren 2
417 56 Gothenburg, Sweden Directions recruitment@zenuity.com

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