Thesis project - Vision-Based AI/ML Model for Trailer Hitch Angle Estimation

We are looking for two master's students to work on a thesis project in developing and evaluating camera/vision-based approaches for real-time trailer hitch angle prediction. The project involves designing a data collection strategy, creating or using a dataset of vehicle-trailer maneuvers, implementing selected vision approaches, and benchmarking them in representative scenarios.

Requirements

• Ongoing Master’s degree in Computer Science, Complex Adaptive Systems, System Controls or relevant fields with specialization in Machine Learning (ML)
• Strong background in Computer Vision (CV) and Machine Learning (ML) for perception tasks.
• Knowledge about Vehicle dynamics, Trailer Kinematics, and State Estimation is beneficial
• Strong programming skills in Python, C/C++, or similar languages
• Familiarity with Embedded computing constraints
• Strong Analytical and Problem-solving skills

Benefits

• Opportunity to work on a real-world project with a company that fast-tracks innovation and transforms ideas into pioneering technology solutions
• Chance to use skills and creativity to push the boundaries of what's possible
• Great opportunity to contribute to the company's innovation capabilities and long-term development