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! Unfortunately, we cannot offer compensation for work on these theses.