Master Thesis: Verification and Validation of Autonomous GoKart Platform using Simulation Environments
Keywords
Autonomous Platform, Verification, Validation, Simulation, Software-in-the-Loop (SIL), ROS2, CI/CD, Test Automation, Hardware-in-the-Loop (HIL)
Targeted Programs
Electrical Engineering, Automation & Mechatronics Engineering
Purpose of the Study
To increase the knowledge and expertise within the evolving automotive industry, Infotiv Technology Development AB developed the open and educational Autonomous Platform. It is currently in its fourth iteration (AP4) and the goal of the platform is to have an autonomous gokart that can be used to progress research and development in the automotive industry. As the platform evolves, ensuring its reliability and testing all features to work properly becomes increasingly critical.
This thesis aims to explore and implement verification, validation, and testing strategies for the autonomous platform using simulation environments, Hardware-in-the-Loop (HIL), and Software-in-the-Loop (SIL) methodologies. The goal is to create a robust testing framework that enables rapid prototyping, fault detection, and performance evaluation of autonomous functionalities (possibly ML based) in a controlled and repeatable manner. Read more about the project in the following links:
https://github.com/infotiv-research/autonomous_platform
https://infotiv-research.github.io/autonomous_platform/
Potential Research Questions
How can HIL and SIL be integrated into the development pipeline of autonomous platforms?
What simulation strategies are most effective for testing autonomous driving behaviors?
How can CI/CD pipelines be used to automate testing and validation?
What are the challenges in verifying safety-critical systems in simulated environments?
Who we are looking for
We are looking for 2 master students with a background in mechatronics, electrical engineering, or equivalent program, who wish to conduct their thesis during the spring of 2026. Applicants shall have experience in electrical engineering, software development and an interest in learning more about test automation. Applicants shall also have experience from programming languages such as C++ or Python, and it is meritorious to have previous experience from or knowledge of Continuous Integration, Delivery or Deployment, Jenkins, Git, Test Automation, ROS2 and Machine learning.
Infotiv
TechDev is a department at Infotiv who focuses on SW & HW development and test solutions. We currently consist of 70 technical consultants with diverse backgrounds and experience from many technological fields. Our employees use their expertise to provide tailored solutions to all kinds of challenges, ranging from SW development, machine learning and simulations to project & test management and way of working. One of our key strengths is the friendly atmosphere in our technical community, which provides access to TechDev's collective knowledge through internal collaboration tools and competence leader program, continuously providing updates in the latest tech.
How to Apply
Apply for this thesis no later than 2025-12-31. Assure to attach your resumé and a short summary of why you want to partake in this thesis. Interviews will be held continuously.
For further information, contact: Maria Kindmark Alemyr [maria.alemyr@infotiv.se] +46(0)-76 890 78 72.
