Master Thesis - 2D Depth Image Processing
Blickfeld
Munich, Germany
vor 3 Tg.

Your role

Our LiDAR sensor streams fascinating 3D point clouds that allow a host of innovative applications. However, for some applications, 3D point cloud processing can be too expensive.

What if we could represent our data as 2D image planes and use less expensive image processing algorithms on them? How do convolutional neural networks perform on this type of data?

Can we embed meaningful algorithm processing features in our device? Join our team of engineers and prove that you are able to push the boundaries of what is possible!

Your tasks

  • Implement a FPGA module to stream depth images
  • Record depth images for algorithm development
  • Evaluate different algorithms for denoising, undistortion and point cloud generation
  • Evaluate approaches for machine learning based feature detection, e.g. CNN
  • Support marketing to prepare impressive demos
  • Support patent applications for your ideas
  • Your profile

  • You are currently enrolled in a master course majoring in computer science or electrical engineering (or similar)
  • You have experience with embedded hardware, especially FPGA
  • You have relevant programming skills in VHDL, Python, and C / C++
  • You have experience with image processing
  • You have experience with machine learning frameworks is a plus
  • Ideally, you have first experience with (embedded) Linux
  • You have very good communication skills in English or German
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