Master Thesis - Hybride KI for occlusion-conscious trajectory planning - REF73156C

Hey, are you looking for an exciting thesis and want to gain valuable insights into the field of trajectory planning for autonomous vehicles? Then we have just the thing for you! 

We are looking for you from February for a period of 6 months to support our AI lab in Berlin. We will need you mostly on site in Berlin. But we also understand that there are days when you would prefer to work from home. Therefore, together we will find a solution that works for all of us - remote working hours are therefore possible in consultation with your supervisor.

The aim of this project is to develop and evaluate a planning algorithm that ensures safe and comfortable driving behavior in such situations. Model-based methods, such as model predictive control, and learning-based methods, such as transformer-based architectures, are to be combined. By integrating these approaches, the planner should not only reduce the risk of collision in connection with visual obstructions, but also proactively collect new information about the scene.

The following tasks are to be completed in this Master's thesis:

• You will conduct literature research and compare occlusion-aware trajectory planners
• We will familiarize you with our existing framework and expand the method to take occlusions into account
• You evaluate the framework in our simulation environment
• We would be pleased if you would publish an article based on this

Wondering if you are suitable for the final thesis in the field of trajectory planning for autonomous vehicles? Here are the important qualifications we are looking for:

• You are studying in the field of computer science, electrical engineering, mechanical engineering or comparable degree programs, so that you bring basic aspects of our field of work with you
• Programming experience in Python is essential for this position
• You should have initial knowledge of control engineering and model predictive control as well as good knowledge of deep learning
• Very good written and spoken English skills are essential for us

In addition to these technical requirements, we are also looking for certain qualities and skills:

• You are independent, goal-oriented and structured and know how to work effectively without losing track of things - always ensuring high-quality results
• Analytical thinking is also an advantage and can help you to solve tasks effectively
• Excellent communication skills and the ability to work in a team are particularly important to us - after all, we always have to work together to find solutions

Before you submit your application, there are a few things you should remember: We need your current certificate of enrollment and your current transcript of records as well as an excerpt from the study regulations regarding the completion of a thesis in order to process your application.

If you are not from an EU country, please also send us your valid residence permit and your work permit including the supplementary sheet.

Applications from severely handicapped people are welcome.

• You will receive qualified support from our experienced specialists and PhDs to improve your professional knowledge and practical skills
• Your commitment to us is fairly remunerated: We know that your work is valuable and want to ensure that you are adequately remunerated
• We offer you flexible working hours with hybrid working models, where you have the opportunity to occasionally work from home, because we know how important the interaction of private and professional life is.
• Our location is centrally located in Berlin and we look forward to welcoming you to our Co-Working Space AI Campus
• We provide a powerful GPU infrastructure, because only with excellent technology can we achieve great
• Participate in journal clubs and networking events and share technical topics with your colleagues on campus

If you find yourself in our position and feel like working with us on exciting projects, then apply now and become part of our team!

iversity, Inclusion & Belonging are important to us and make our company strong and successful. We offer equal opportunities to everyone - regardless of age, gender, nationality, cultural background, disability, religion, ideology or sexual orientation.

Ready to drive with Continental? Take the first step and fill in the online application.

Continental develops pioneering technologies and services for sustainable and connected mobility of people and their goods. Founded in 1871, the technology company offers safe, efficient, intelligent and affordable solutions for vehicles, machines, traffic and transportation. In 2023, Continental generated sales of 41.4 billion and currently employs around 200,000 people in 56 countries and markets.

Trajectory planning for autonomous vehicles in environments with highly occluded areas is one of the biggest challenges in the industry. Occlusions, due to the physical limitations of sensors, significantly affect safety and performance. Examples show that occlusions can be direct triggers for traffic accidents, for example when a pedestrian is hidden behind a building or a parked car near a crosswalk and an autonomous vehicle cannot react in time.