Thesis Work: Safety Aware Decision Framework for Uncertain Perception of Large Autonomous Construction Vehicles

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This Position reports to:

Details

• Period: January - June 2026
• Number of credits: 30 ECTS
• Number of students for this thesis work: One
• Location: Kista

Your role and responsibilities

How can uncertain multi-sensor perception data be transformed into reliable, deterministic safety actions for large autonomous construction vehicles operating in dynamic environments?

This thesis will be investigating safety aspects for autonomous dump trucks. The goal is to design and evaluate a safety framework using multi sensor data (LiDAR, radar, GPS and possibly camera, although its not required that every sensor is used).

The data from these sensors will be uncertain, due to noise, weather conditions and terrain. Its therefore important to weigh these inputs given their respective uncertainty in order to chose the 'safest' option, based on the vehicles current state and its surroundings.

By not using a fixed safety threshold but instead using a probabilistic framework the system will be able to respond better to uncertainties in its surroundings.

Qualifications for the role

• Master's thesis student with a relevant background (e.g automation, mechatronics, electric, mobile machines, computer science)
• Interested in problem-solving and bringing curiosity and analytical thinkingto your work
• Comfortable communicating in English and Swedish(both written and spoken)
• Collaborative and passionate about teamwork
• Good programming skills

More aboout us

Recruiting Manager Touko Jalkanen, +46 703 904 980, will answer your questions.

Positions are filled continuously. Please apply with your CV, academic transcripts, and a cover letter in English. We look forward to receiving your application!

A Future Opportunity
Please note that this position is part of our talent pipeline and not an active job opening at this time. By applying, you express your interest in future career opportunities with ABB.

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