Bachelor/Master Thesis: Image Recognition Pipeline to Detect Freight Container Features

Your task will be the design and implementation of a machine learning pipeline to recognize relevant features of twistlocks and freight containers. This includes the segmentation of the features, the 6D-pose estimation, as well as the inference of symbolic information.

Your Skills

  • Expertise in computer vision and image processing for real-world applications.
  • Strong knowledge in the implementation of machine learning pipelines for image segmentation and 6D-pose estimation.
  • Knowledge in designing object segmentation and localization pipelines.
  • Experience with integrating vision systems into robotic platforms with ROS2.
  • Experience in dataset creation, augmentation, and evaluation for training and testing.
  • Ability to work efficiently on-site with external stress factors.

Apply now!

Please send your application to contact@seal-robotics.com,
we are looking forward to learn about your passion!