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Master Thesis - Collision avoidance by steering and braking interventions


Transportation systems are increasingly relying on communication technologies and automated control to enable safer, smarter, and greener solutions. An area of particular interest is evasive collision avoidance. While Automated Braking Systems (ABS) purely rely on braking actuation, and Lane Keep Assist (LKA) solely on steering actuation, there are however several scenarios where a combination of braking and steering actions is needed in order to guarantee the vehicle’s and passenger’s safety.

Project Description 


In this thesis we aim to develop and implement a threat-assessment and control algorithm combining braking and steering manoeuvres. This work is motivated by scenarios where existing safety systems, using either braking- of steering-only, are insufficiently performant.

The resulting threat-assessment and decision-making algorithm should be integrated and tested in cutting edge simulation environments as well as in real-vehicles. A scientific publication is also expected at the end of this project.

Based on preliminary results on the effectiveness of combined braking and steering manoeuvres, the purpose of this thesis is to design and implement an efficient threat assessment and decision-making algorithm for collision avoidance. The goals of the project are:


  • Elaborate an extensive state-of-the-art on the subject (both industrial and academic)
  • Define an appropriate theoretical framework
  • Develop and implement the proposed safety control system
  • Test and experiment the algorithm in simulation environments and real vehicles
  • Benchmark results with respect to production-grade solutions
  • Document the project in the form of a scientific publication in a renowned conference



  • 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


  • Active safety functions
  • Critical control systems
  • Automotive engineering
  • Software design for a market leading technology


Further information

Final application date: 15 November.

 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: 12 Jnauray, 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 Göteborg Directions

Making safe and intelligent mobility real.

At Zenuity, we lead the global movement of crafting tomorrow's mobility with the software platform of choice. Our mission is to “Make safe and intelligent mobility real, for everyone, everywhere”. This statement marks our conviction and dedication to bring autonomous driving out on the streets for real and is at the center of everything we do.

We could not dream of achieving this without our great teams of very talented people. We are on this journey together and our agile way of working is reflected throughout our entire organization; it is part of our culture and how we work, develop and grow together.


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