Master thesis - Robometer for Autonomous Driving Data Selection

Technology, Data & Digital · Data, AI & Analytics · Machine Learning · Data Science · Software Engineering

In short

Master's thesis project focused on adapting Robometer for autonomous driving data selection. The project involves investigating Robometer's application, developing a data-selection pipeline, and comparing it with existing strategies to improve downstream model performance and efficiency. Ideal for Master's students in computer science, machine learning, or related fields with strong programming skills.

Responsibilities

Investigate how Robometer can be applied to autonomous driving trajectories and fine-tune the model.
Develop a data-selection pipeline based on Robometer trajectory scores.
Compare Robometer with existing data-selection strategies.
Evaluate whether Robometer-selected datasets improve downstream autonomous driving models in terms of performance, robustness, and data efficiency.

Requirements

Master’s student in computer science, machine learning, robotics, engineering physics, electrical engineering, or a related field.
Strong programming skills, preferably in Python and PyTorch.
Knowledge of machine learning and deep learning.
An interest in autonomous driving, computer vision, transformers, multimodal models, or explainable AI.
Motivation to combine scientific investigation with practical implementation.

Desired Qualifications

Experience with vision-language models, natural-language processing, model interpretability, or autonomous-driving datasets is beneficial but not required.

Benefits

Work on a research problem combining machine learning, autonomous driving and multimodal models.
Receive supervision from TRATON.
Opportunities to interact with researchers and engineers working on machine learning and autonomous driving.
30 credits - Full time thesis work for 20 weeks.

Skills

PythonPyTorchMachine LearningDeep LearningAutonomous DrivingComputer VisionTransformersMultimodal ModelsExplainable AIVision-Language ModelsNatural Language ProcessingModel Interpretability

#Master's Thesis#Autonomous Driving#Machine Learning#Robotics#Data Selection#TRATON Group#Scania

About 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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