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Master thesis - Embodiment-Aware Autonomous Driving Policies with Deep Learning

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

I korthet

This Master's thesis investigates learning embodiment-aware autonomous driving policies using deep learning and imitation learning. The research aims to adapt policies from passenger vehicles to heavy-duty trucks, exploring how vehicle configuration conditioning improves generalization and data efficiency.

Ansvarsområden

  • Develop or extend a motion-planning policy incorporating vehicle-configuration information.
  • Evaluate transfer-learning strategies for adapting policies from passenger vehicles to heavy-duty vehicle configurations.
  • Investigate combining driving data from multiple vehicle configurations within a unified learning framework.
  • Implement, train, and evaluate proposed solutions for generalization, data efficiency, and driving performance.

Krav

  • Master (civilingenjör) in computer science, robotics, electrical engineering, or applied mathematics.
  • Specialization in artificial intelligence algorithms preferred.
  • Proficiency in deep learning and imitation learning techniques.
  • Familiarity with motion planning and transfer learning strategies.
  • Ability to implement, train, and evaluate machine learning models.

Önskade kvalifikationer

  • Prior research or project experience in autonomous driving or robotics.
  • Experience with specific deep learning frameworks (e.g., TensorFlow, PyTorch).
  • Understanding of vehicle dynamics and kinematics.
  • Knowledge of multi-embodiment learning concepts.

Förmåner

  • Opportunity to get closer to TRATON Group R&D.
  • Build relationships for the future.
  • Work on cutting-edge autonomous driving technology.
  • Thesis project contributing to industry advancements.

Färdigheter

Deep LearningImitation LearningMotion PlanningTransfer LearningRoboticsMachine Learning
#Autonomous Driving#Deep Learning#Master Thesis#Robotics#AI#Machine Learning#Computer Science#Sweden
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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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Företag

Scania Group

Publicerade jobb

för 3 dagar sedan

Anställningstyp

Heltid

Arbetsform

Hybrid

Erfarenhetsnivå

Junior

Platser

Södertälje, Sweden

Kvalifikation

Masterexamen

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