Master Thesis in 3D Reconstruction for Autonomous Driving

About the Role

Join the BMW Group for an exciting opportunity to work on a master thesis in the area of 3D reconstruction aware semantic segmentation for autonomous driving. This role involves grounding 3D perception tasks such as BEV segmentation in 3D reconstruction methods to enhance 3D perception through these representations.

Key Responsibilities

Conduct research on state-of-the-art methods in 3D reconstruction and BEV segmentation within autonomous driving scenarios.
Benchmark 3D reconstruction and segmentation on publicly available research datasets and a large-scale, multimodal dataset curated by BMW.
Select a suitable neural network architecture that leverages multiple sensor inputs.
Perform knowledge distillation of a state-of-the-art perception method into a deployable model delivering low-latency outputs.
Deploy the final model on a specialized SoC for in-vehicle tests.
Collaborate with an experienced team of software developers and machine learning engineers at the Autonomous Driving Campus in Unterschleißheim.

Requirements

You are a master student nearing the end of your degree in computer science or related fields with a focus on machine learning, deep learning, or artificial intelligence.
Strong knowledge of computer vision concepts such as 3D reconstruction and convolutional neural networks.
Experience working with multimodal sensor data.
Proficient programming skills in Python, PyTorch, or TensorFlow and familiarity with modern programming environment tools such as Docker and Git.
Motivated to solve problems independently and collaboratively.

What We Offer

Comprehensive mentoring and onboarding.
Opportunities for personal and professional development.
Flexible working hours and digital offers for mobile working.
Attractive remuneration.
Apartment offers for students (subject to availability and only in Munich).
And many other benefits.

Diversity and Inclusion

At BMW Group, diversity and inclusion are seen as strengths for our teams. We are committed to equal opportunities and the equal treatment of applicants and employees. Our recruiting decisions are based on personality, experience, and skills.

Additional Information

Earliest starting date: from 07.10.2024
Duration: 6 months
Working hours: Full-time

Please note that your thesis must be supervised by a university on your part.

Apply now to be part of a dynamic team and contribute to the future of autonomous driving technology!

Benefits
Extracted with AI

Comprehensive mentoring & onboarding
Personal & professional development
Flexible working hours
Digital offers & mobile working
Attractive remuneration
Apartment offers for students (subject to availability & only Munich)

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