Robotics Innovation Center

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1. Tim Dahmen; Patrick Trampert; Faysal Boughorbel; Janis Sprenger; Matthias Klusch; Klaus Fischer; Christian Kübel; Philipp Slusallek

   Digital reality: a model-based approach to supervised learning from synthetic data

   In: AI Perspectives, Vol. 1, Pages 1-12, Springer, 2019.

2. Nico Herbig; Frederik Wiehr; Atanas Poibrenski; Janis Sprenger; Christian Müller

   How Machine Perception Relates to Human Perception: Visual Saliency and Distance in a Frame-by-Frame Semantic Segmentation Task for Highly/Fully Automated Driving

   In: ACM/IEEE 1st International Workshop on Software Engineering for AI in Autonomous Systems. International Workshop on Software Engineering for AI in Autonomous Systems (SEFAIAS-2018), located at ICSE, May 27 - June 3, Gothenburg, Sweden, ISBN 978-1-4503-5739-5/18/05, ACM/IEEE, 2018.

3. Noshaba Cheema; Somayeh Hosseini; Janis Sprenger; Erik Herrmann; Han Du; Klaus Fischer; Philipp Slusallek

   Dilated Temporal Fully-Convolutional Network for Semantic Segmentation of Motion Capture Data

   In: Thabo Beeler; Nils Thuerey; Melina Skouras (Hrsg.). Eurographics/ ACM SIGGRAPH Symposium on Computer Animation - Posters. ACM SIGGRAPH / Eurographics Symposium on Computer Animation (SCA-2018), July 11-13, Paris, France, Pages 5-6, SCA Posters '18, ISBN 978-3-03868-070-3, The Eurographics Association, 2018.

4. Atanas Poibrenski; Janis Sprenger; Christian Müller

   Towards a Methodology for Training with Synthetic Data on the Example of Pedestrian Detection in a Frame-by-Frame Semantic Segmentation Task

   In: Proceedings of the 1st International Workshop on Software Engineering for AI in Autonomous Systems. International Workshop on Software Engineering for AI in Autonomous Systems (SEFAIAS-2018), located at ICSE, May 27 - June 3, Gothenburg, Sweden, Pages 31-34, SEFAIS '18, ISBN 978-1-4503-5739-5/18/05, ACM/IEEE, 2018.

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