Thesis project: Pallet perception through deep learning and sensor fusion
Core
Develop deep learning models and sensor fusion algorithms to identify and localize pallets using RGB and ToF camera data for autonomous trucks.
Role type
Master thesis student (Computer Vision / Deep Learning)
Builds
Pallet perception system for autonomous trucks
Domain
Autonomous vehicles / Material handling
Deliverable
production ML models
Required skills
3D computer vision, deep learning, machine learning, sensor fusion, embedded systems
Preferred skills
synthetic data generation, real-world data evaluation
Technologies
RGB cameras, Time-of-Flight (ToF) 3D cameras, NVIDIA GPUs, synthetic environments
Responsibilities
Train and evaluate deep learning models, develop data fusion algorithms, evaluate results using real-world and synthetic data
Seniority
Master thesis student (1-2 students)
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