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Enhancing the ANavS Positioning System with Camera, Lidar or Radar sensors (m/f/d)
ANavS GmbH —München
- Vollzeit
- Informatik
- C++
- Machine Learning
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Enhancing the ANavS Positioning System with Camera, Lidar or Radar sensors (m/f/d)

ANavS GmbH
München

Jetzt bewerben

Details zur Stelle

Vollzeit

Qualifikationen

TensorFlow
Informatik
PyTorch
C++
Machine Learning
Deep learning
Softwareentwicklung
Kommunikationsfähigkeit
Python
Debugging

Vollständige Stellenbeschreibung

We are a team of experts for precise positioning solutions and precise mapping systems. Be part of our company with flat company structures and freedom for innovative ideas. ANavS® is located in the attractive city of Munich, Germany. The nearest underground station is only 50 m from our office, and the closest highway entrance can be reached within only 2 minutes by car. Thereby, the city center as well as the Bavarian lakes, castles and Alps can be easily reached. If our job offerings don’t quite meet your needs, we may be able to adapt the position for you. Just ask! Nothing for you in the following vacancy list? No problem, we are always searching for new team members for master-thesis, working students, full-time employees. We are looking forward to your initiative job application letter.

Enhancing the ANavS Positioning System with Camera, Lidar or Radar sensors (m/f/d)

Master-Thesis

Job advertisement Id MA003 online since 06/2026

The ANavS real-time positioning system provides centimeter-accurate position information and is based on a sensor fusion of satellite signals (GNSS signals) and inertial measurements from an inertial measurement unit (IMU). In addition vehicle wheel data, barometer and range measurements can be integrated to improve the performance. Camera, Lidar and radar sensors on the one hand can be used to improve and robustify the localization performance too, for example in GNSS-denied areas, such as tunnels, and on the other hand enable the detection of the environment, which includes map creation and object detection.

Another important component to improve the safety of the positioning system is integrity monitoring, which makes sure that all sensor fusion data, such as sensor raw data or navigation solutions, are valid and consistent. This component may profit from camera, Lidar and radar sensor information as well, for example using cross-checks with other sensor or solution data. Scenarios range from simple sensor data malfunctioning to complex GNSS spoofing attacks – attacks in which satellite signals are manipulated to yield a wrong position information.

Your tasks:

Your topic will focus on one of the sensors camera, Lidar or radar with a focus on either object detection or localization and mapping depending on your background, interests and skills and our current priorities. Integrity monitoring is another possible thesis direction, which does not primarily focus on object detection or localization and mapping.

Your profile:

Master student in computer science, robotics, or related areas
Experience in computer vision, visual navigation, and preferably satellite-based navigation
Very good programming skills in C++ and Python and experience in software development
Very good analytical and debugging skills
Experience with deep learning and machine learning techniques and frameworks, such as PyTorch or Tensorflow
Theoretical knowledge and practical experience in Simultaneous Localization and Mapping (SLAM), or object detection methods would be ideal.
Experience with camera, Lidar or radar sensors would be ideal.
Strong motivation and ability to work independently
Team player
Good communication skills in English and preferably in German too

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Enhancing the ANavS Positioning System with Camera, Lidar or Radar sensors (m/f/d)

Working Student Software Engineer Code & Study

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Enhancing the ANavS Positioning System with Camera, Lidar or Radar sensors (m/f/d)

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