Autonomous Driving Munich 10.09.2024

Master thesis grounding BEV segmentation in 3D reconstruction for autonomous driving (f/m/x)

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Digitalisation, robotics, artificial intelligence – not science fiction but our daily business. Everything seems impossible until it has been done. World-leading technologies don’t make it into a BMW until they’ve undergone one of the most challenging journeys imaginable. It takes dynamic teams with outstanding technical skills to take them from the drawing board to the road. That’s why our experts will treat you as part of the team from day one, encourage you to bring your own ideas to the table – and give you the opportunity to really show what you can do.

Description

 

We, the BMW Group, offer you an interesting and varied Master thesis in the area of 3D reconstruction aware semantic segmentation for autonomous driving. A challenge to be addressed during this master thesis is to ground the 3D perception tasks such as BEV segmentation in the 3D reconstruction methods such as GS to boost the 3D perception through these 3D representations.  

 

What awaits you?
•    Research on state-of-the-art methods in literature on 3D reconstruction and BEV segmentation in autonomous driving scenarios.
•    Benchmarking of 3D reconstruction and Segmentation on publicly available research datasets as well as on a large-scale, multimodal dataset curated by BMW.
•    Selection of a suitable neural network architecture that leverages multiple sensor inputs.
•    Knowledge distillation of a state-of-the-art perception method into a deployable model delivering low-latency outputs.
•    Chance to deploy the final model on a specialized SoC for in-vehicle tests.
•    Working in an experienced team of software developers and machine learning engineers at the Autonomous Driving Campus in Unterschleißheim.
 
Please note that your thesis must be supervised by a university on your part.
 
What should you bring along?
•    You are a master student approaching the end of your degree in computer science or related fields with focus on machine learning, deep learning or artificial intelligence.
•    Moreover you have strong knowledge of computer vision concepts such as 3D reconstruction and convolutional neural networks.
•    Frurthermore you have experience working with multimodal sensor data.
•    You have very good programming skills in Python, PyTorch, or TensorFlow and worked with modern programming environment tools such as Docker and Git.
•    In addition to that you are motivated to solve problems independently as well as sharing ideas and working in a team.

 

What do we offer?

  • Comprehensive mentoring & onboarding.
  • Personal & professional development.
  • Flexible working hours.
  • Digital offers & mobile working.
  • Attractive remuneration.
  • Apartment offers for students (subject to availability & only Munich).
  • And many other benefits - see bmw.jobs/benefits

 

You enjoy working in an international team? Apply now!

 

At the BMW Group, we see diversity and inclusion in all its dimensions as a strength for our teams. Equal opportunities are a particular concern for us, and the equal treatment of applicants and employees is a fundamental principle of our corporate policy. That is why our recruiting decisions are also based on personality, experience and skills.

Find out more about diversity at the BMW Group at bmwgroup.jobs/diversity
 

Earliest starting date: from 07.10.2024

Duration: 6 months

Working hours: Full-time


Contact:
BMW Group HR Team
+49 89 382-17001

Master thesis grounding BEV segmentation in 3D reconstruction for autonomous driving (f/m/x)
20240910
Automotive
Munich
Germany
Legal Entity:
BMW AG
BMW Group
Location:
Munich
Job Field:
Autonomous Driving
Job Id:
138522
Publication Date:
10.09.2024
Internship
FullTime
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