Intern/Thesis - Learning-based Radar-Camera Fusion for Simultaneous Localization and Mapping

Volkswagen Group; Monsheim; Remoto; EUR 16.000 - 22.000; Part-time

Descrizione del lavoro

CARIAD, the automotive software company of the Volkswagen Group, invites a student to join the ground truth generation team. You will work at the intersection of academia and industry, contributing to research on radar-camera fusion and SLAM for autonomous vehicles.

As part of the team, you will collaborate with PhD researchers, design experiments, and analyze results to advance multi-modal state estimation and map generation under varying weather and lighting conditions.

Competenze

• Currently enrolled in Computer Science, Robotics, Electrical Engineering, Mathematics or equivalent
• Knowledge of sensors for autonomous driving and measurement technology
• Programming proficiency in Python and/or C++
• Good spoken and written English
• First research experience (internships, projects, papers, or coding competitions) is a plus

Mansioni

• Independently investigate novel approaches for radar-camera fusion
• Develop and evaluate methods for robust state estimation, localization and/or 3D map generation
• Design experiments and compare your approach against state-of-the-art methods
• Analyze results and derive insights for multi-modal SLAM algorithms

Conoscenze

Python

C++

English

Formazione

Enrolled student in CS/Robotics/EE/Math

Descrizione del lavoro

We are CARIAD, the automotive software company of the Volkswagen Group. Our teams build automotive software platforms and digital customer functions for iconic brands like Audi, Volkswagen, and Porsche – supporting the Volkswagen Group in becoming the leading automotive technology company. With CARIDIANS in Germany, the USA, China, Estonia, and India, we are transforming automotive mobility for everyone. Join us and be part of this exciting journey!

YOUR TEAM

You will join our ground truth generation team working at the intersection of academia and industry. Working closely with our PhD researchers, you will contribute to ongoing research on radar-camera fusion and robust simultaneous localization and mapping (SLAM) for autonomous vehicles. Together, we tackle challenging problems in radar-camera state estimation, robust localization, consistent map generation, and cross-modal alignment between vision and radar data. Our goal is to advance multi-modal SLAM algorithms that combine complementary sensing characteristics to enable reliable localization and mapping in complex driving environments under all weather and lighting conditions.

WHAT YOU WILL DO

• Independently investigating novel approaches for radar-camera fusion
• Developing and evaluating methods for robust state estimation, localization and/or 3D map generation
• Designing experiments and comparing your approach against state-of-the-art methods
• Analyzing results and deriving insights for multi-modal SLAM algorithms

WHO YOU ARE

• Excellent academic performance
• Enrolled student in Computer Science, Robotics, Electrical Engineering, Mathematics or equivalent
• Know-how of relevant sensors for autonomous driving and measurement technology
• Programming knowledge and experience in Python and/or C++
• Confident in English in both oral and written form
• Open-minded team player, passionate about self-driving technologies and solving hard problems
• First research experience (e.g., internships, projects, papers, or coding competitions) is a plus

NICE TO KNOW

Remote work options within Germany

Duration: 3 - 6 months 35 h/week Salary: 13,90 €/hour

At CARIAD, we embrace individuality and diversity because we believe our differences make us stronger. We actively seek to build teams with a variety of backgrounds, perspectives, and experiences. Our goal is to create an environment where everyone feels valued and empowered to contribute.

If you need assistance with your application due to a disability, please reach out to us at [e-mail] - we are happy to support you.