Real-time Center of Mass position of vehicles estimation using physical modelling and advanced data analytics of sensor data

Key words

Data analytics, Automotive, C, Embedded systems, Machine learning.


You are:

  • A bright individual and master student in Engineering Physics, mechanical engineering, Robotics or equivalent.
  • A result-driven and product-oriented aspiring Engineer ready to take on new challenges,
  • Excited to tackle complex dynamical modeling problems and apply rigorous methods to deliver great solutions

…and you find satisfaction in delivering a product that significantly impacts the users as well as the society in a positive way.


Your mission:

To push the boundaries of vehicle’s dynamic modeling using standard sensors to provide a state-of-the-art vehicle Center of Mass estimation algorithm running on a embedded system.


Your goals:

Design an advanced vehicle Center of Mass estimation algorithm by:

  • Modeling the dynamics of special vehicles as well as the limits of EVAM sensors
  • Deriving from this model an algorithm to estimate the vehicle Center of Mass position in real-time
  • Using data from the field to test the performance of your algorithm and optimize it
  • Implementing the result of a theoretical modelling in the EVAM firmware

Hardware platform as well as a basic firmware will be provided.


The parts about us:

We are a team of 8 passionate engineers on a mission to change the way special vehicles operate by digitalizing the special vehicles market. EVAM is a 3-year old start-up approaching a global market with customers across the world.


Or know somebody that would be perfect for the task? Let us know!

Financial compensation will be given for the master thesis.

Any questions? – Get in touch!

Florian Curinga

Head of Software Engineering