Bachelor/Master Thesis – Sensor Fusion and Safety of Autonomous Mobile Robots

Role Overview

• Optimize preprocessing to convert raw data into training datasets
• Train AI-based detectors across multiple modalities
• Carry out tests and evaluate detectors with a focus on safety
• Adapt loss functions to optimize safety and productivity
• Document the results and findings

Requirements

• Enrolled in a degree program in Computer Science, Mechatronics, or a related field
• Knowledge of neural networks, ideally with experience in PyTorch
• Programming skills in Python and C++
• Basic knowledge of electrical/electronic systems
• Experience using Git

Tech Stack

• Python
• PyTorch

Benefits

• Your development matters to us. Professional supervision within the specialist departments, seminars at our in-house training center DriveAcademy®, participation in student information events, and a weekly student meet-up
• Feel at home with us. First-class equipment and working conditions, state-of-the-art products, and participation in innovative development projects
• We care about your work–life balance. Flexible assignment periods, health management, partnerships with fitness studios, and leisure offerings
• Targeted support in our StudentsWorld. A study-accompanying program for outstanding performance in your role, including financial and professional support