Search Results for author: Nico Blodow

Found 2 papers, 1 papers with code

RoboSherlock: Cognition-enabled Robot Perception for Everyday Manipulation Tasks

no code implementations22 Nov 2019 Ferenc Bálint-Benczédi, Jan-Hendrik Worch, Daniel Nyga, Nico Blodow, Patrick Mania, Zoltán-Csaba Márton, Michael Beetz

The application of the UIM principle supports the implementation of perception systems that can answer task-relevant queries about objects in a scene, boost object recognition performance by combining the strengths of multiple perception algorithms, support knowledge-enabled reasoning about objects and enable automatic and knowledge-driven generation of processing pipelines.

Robotics

Fast Point Feature Histograms (FPFH) for 3D Registration

1 code implementation12 May 2009 Radu Bogdan Rusu, Nico Blodow, Michael Beetz

In our recent work [1], [2], we proposed Point Feature Histograms (PFH) as robust multi-dimensional features which describe the local geometry around a point p for 3D point cloud datasets.

Point Cloud Registration

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