An Empirical Evaluation of Ten Depth Cameras: Bias, Precision, Lateral Noise, Different Lighting Conditions and Materials, and Multiple Sensor Setups in Indoor Environments

Autor: Markus Vincze, Markus Suchi, Georg Halmetschlager-Funek, Martin Kampel

Publikováno v: IEEE Robotics & Automation Magazine. 26:67-77

Over the last few years, novel color and depth sensors have pushed the boundaries of robot perception significantly. Today, several new depth-sensing products are replacing the earlier, well-examined red-green-blue-depth (RGBD) sensors, which have re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::406e5a9df3b4c3d3792f78783ac2e2a4
https://doi.org/10.1109/mra.2018.2852795

Making sense of indoor spaces using semantic web mining and situated robot perception

Autor: Lars Kunze, Valerio Basile, Barbara Caputo, Markus Vincze, Jay Young, Nick Hawes, Markus Suchi

Publikováno v: LNCS
AnSWeR 2017-1st International Workshop on Application of Semantic Web technologies in Robotics
AnSWeR 2017-1st International Workshop on Application of Semantic Web technologies in Robotics, May 2017, Portoroz, Slovenia. pp.299-313, ⟨10.1007/978-3-319-70407-4_39⟩
Scopus-Elsevier
Lecture Notes in Computer Science ISBN: 9783319704067
ESWC (Satellite Events)

International audience; Intelligent Autonomous Robots deployed in human environments must have understanding of the wide range of possible semantic identities associated with the spaces they inhabit – kitchens, living rooms, bathrooms, offices, gar

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ce9ef0cf54122d32b7511226bd01bf74
https://ora.ox.ac.uk/objects/uuid:7fa2be6a-8ded-4726-8a7c-2c8c8eb241bd

Learning and Detecting Objects with a Mobile Robot to Assist Older Adults in Their Homes

Autor: David Fischinger, Markus Bajones, Markus Suchi, Markus Vincze, Daniel Wolf, Paloma da la Puente, Astrid Weiss

Publikováno v: Lecture Notes in Computer Science ISBN: 9783319488806
ECCV Workshops (2)

Older adults reported that a robot in their homes would be of great help if it could find objects that users regularly search for. We propose an interactive method to learn objects directly with the user and the robot and then use the RGB-D model to

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::92de89293b3eb1d89e76e35317ffdf63
https://doi.org/10.1007/978-3-319-48881-3_22