Master thesis - AI uncertainty to guardrails

Teknik, data och digitalt · Data, AI och analys · Maskininlärning · Mjukvaruutveckling

I korthet

This Master's thesis project focuses on AI uncertainty and safety guardrails for autonomous heavy-duty vehicles. You will conduct a literature review on uncertainty representation and its role in safety-critical decisions, working with researchers from TRATON and KTH.

Ansvarsområden

Review uncertainty definitions and sources in learned driving-policy outputs.
Compare methods for estimation, representation, calibration, and evaluation of AI uncertainty.
Study how uncertainty can guide safety margins, constraints, interventions, and fallback decisions.
Recommend future research directions on uncertainty-aware safety supervision.

Krav

Master's student in Systems, Control and Robotics, Computer Science, Electrical Engineering, Engineering Physics, Applied Mathematics, or a related field.
Experience in machine learning, probabilistic methods, autonomous driving, robotics, planning and control, or literature reviews is beneficial.

Önskade kvalifikationer

Focus on scene-level representations, predictions, and nominal trajectories.
Sensor, perception, and localization uncertainty are included only when they propagate to these outputs.

Förmåner

Excellent way to get closer to TRATON Group R&D.
Build relationships for the future.
Work with researchers and engineers at TRATON and KTH.

Färdigheter

Machine LearningProbabilistic MethodsAutonomous DrivingRoboticsPlanning and Control

#AI#Uncertainty#Guardrails#Autonomous Vehicles#Machine Learning#Robotics#Control Systems

Om Scania Group

Scania is a world-leading provider of transport solutions committed to a better tomorrow. Our purpose is to drive the shift towards a sustainable transport system. In doing so, we are creating a world of mobility that’s better for business, society and our environment. Employing more than 50,000 people in about 100 countries, Scania’s research and development is concentrated in Sweden, while production takes place in Europe and South America.

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