Master thesis - Robust 4D Radar Perception for Autonomous Driving: Detect and Classify Multipath

Technology, Data & Digital · Software & Web Development · Software Engineering · Machine Learning · Artificial Intelligence

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In short

Sökande till ett masterprogram i datorvetenskap, elektroteknik, ingenjörsfysik, robotik, tillämpad matematik eller liknande. Få tillgång till verklig kördata och beräkningsresurser samt nära handledning i en aktiv forskningsmiljö. Möjligheter till vetenskaplig publikation beroende på resultat.

Responsibilities

Investigate methods for classifying and removing false 4D radar returns caused by multipath propagation in autonomous driving scenarios.
Characterize multipath failure modes in modern 4D radar data.
Design models or feature pipelines to distinguish valid returns from ghosts.
Leverage spatial, Doppler and temporal cues for robust filtering.
Compare classical signal-processing and machine-learning approaches.
Evaluate the impact of filtering on downstream tasks such as odometry, motion estimation, or occupancy prediction.

Requirements

Motivated Master’s students in Computer Science, Electrical Engineering, Engineering Physics, Robotics, Applied Mathematics, or related fields.
Experience in Machine learning or deep learning.
Experience in Signal processing.
Experience in Computer vision or multimodal perception.
Experience in Probabilistic modeling and data analysis.
Experience with Python and PyTorch.
Experience in Autonomous driving, robotics, or sensor fusion.

Benefits

Work on a high-impact topic at the intersection of radar sensing and autonomous driving.
Access to real-world driving data and computational resources.
Close supervision and collaboration in an active research environment.
Opportunity to contribute methods that can improve robustness of future AD systems.
Potential for scientific publication depending on outcomes.

Skills

PythonPyTorchMachine LearningDeep LearningSignal ProcessingComputer VisionMultimodal PerceptionProbabilistic ModelingData AnalysisAutonomous DrivingRoboticsSensor Fusion

#Autonomous Driving#Radar#Perception#Master Thesis

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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