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    Chapter and Conference Paper

    6DoF Pose Estimation for Industrial Manipulation Based on Synthetic Data

    We present a perception system for mobile manipulation tasks. The primary design goal of the proposed system is to minimize human interaction during system setup which is achieved by several means, such as au...

    Manuel Brucker, Maximilian Durner in Proceedings of the 2018 International Symp… (2020)

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    Article

    Improving object orientation estimates by considering multiple viewpoints

    This article describes a probabilistic approach for improving the accuracy of general object pose estimation algorithms. We propose a histogram filter variant that uses the exploration capabilities of robots, ...

    Zoltán Csaba Márton, Serkan Türker, Christian Rink, Manuel Brucker in Autonomous Robots (2018)

  3. Chapter and Conference Paper

    Implicit 3D Orientation Learning for 6D Object Detection from RGB Images

    We propose a real-time RGB-based pipeline for object detection and 6D pose estimation. Our novel 3D orientation estimation is based on a variant of the Denoising Autoencoder that is trained on simulated views ...

    Martin Sundermeyer, Zoltan-Csaba Marton, Maximilian Durner in Computer Vision – ECCV 2018 (2018)