Master Thesis Student (m/f/d) - Efficient AI for Autonomous Driving

Company Description

As an automotive supplier, DENSO is leading in developing and providing components and systems for heating, air conditioning, motor cooling, exhaust gas aftertreatment, automotive electrics and electronics and instrumentation.

Job Description

Vision Language Action (VLA) models show strong performance for data-driven autonomous driving using latest AI technology. As VLA systems combine LLMs for text input, computer vision encoder and complex action generation, the system often consume considerable resources and memory. A recent line of research is focusing on more efficient VLA models, mainly by optimizing how the different modules VLAs interact.

This master’s thesis focuses on evaluation, benchmarking and enhancing of VLA models which focus on efficiency The project involves systematic evaluation of different VLA systems and optimization techniques on realistic benchmarks.

Key Research Areas:

• Review of VLA models for autonomous driving regarding efficiency
• Quantitative evaluation of VLA systems and features regarding inference efficiency (time, memory)
• (optional) Enhancements of VLA systems for inference, integrating or combining different mechanisms for efficiency improvement

This position is only for students enrolled in a university looking for a Master Thesis. For students at TUM in München, thesis supervision from university side can be p