Projects for the topic semantic segmentation

Completed projects

Abstract. In training deep neural networks for semantic segmentation, the main limiting factor is the low amount of ground truth annotation data that is available in currently existing datasets. The limited availability of such data is due to the time cost and human effort required to accurately and consistently label real images on a pixel level. Modern sandbox video game engines provide open world environments where traffic and pedestrians behave in a pseudo-realistic manner. This caters well to the collection of a believable road-scene dataset.

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We are looking for postdocs and graduate students interested in working on all aspects of autonomous driving.

For more information, visit Open positions.