Automated Door Detection with a 3D-Sensor
Meyer zu Borgsen S, Schöpfer M, Ziegler L, Wachsmuth S (2014)
In: Computer and Robot Vision (CRV), 2014 Canadian Conference on. IEEE: 276-282.
Konferenzbeitrag
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Einrichtung
Abstract / Bemerkung
Service robots share the living space of humans. Thus, they should have a similar concept of the environment without having everything labeled beforehand. The detection of closed doors is challenging because they appear with different materials, designs and can even include glass inlays. At the same time their detection is vital in any kind of navigation tasks in domestic environments. A typical 2D object recognition algorithm may not be able to handle the large optical variety of doors. Improvements of low-cost infrared 3D-sensors enable robots to perceive their environment as spatial structure. Therefore we propose a novel door detection algorithm that employs basic structural knowledge about doors and enables to extract parts of doors from point clouds based on constraint region growing. These parts get weighted with Gaussian probabilities and are combined to create an overall probability measure. To show the validity of our approach, a realistic dataset of different doors from different angles and distances was acquired.
Stichworte
robot;
vision;
recognition;
primesense;
pcl;
kinect;
door;
detection;
3d;
depth;
Three-dimensional displays;
Robot sensing systems;
Feature extraction;
Glass;
Detection algorithms;
service robots;
probability measure;
point clouds;
mobile robots;
infrared 3D-sensors;
door parts extraction;
constraint region growing;
automated door detection;
Gaussian probabilities;
3D-sensor;
robot vision;
object detection;
mobile robots;
infrared detectors;
image segmentation;
doors;
Gaussian processes
Erscheinungsjahr
2014
Titel des Konferenzbandes
Computer and Robot Vision (CRV), 2014 Canadian Conference on
Seite(n)
276-282
Konferenz
Computer and Robot Vision (CRV), 2014 Canadian Conference on
Konferenzort
Montreal, QC
ISBN
978-1-4799-4338-8
Page URI
https://pub.uni-bielefeld.de/record/2700302
Zitieren
Meyer zu Borgsen S, Schöpfer M, Ziegler L, Wachsmuth S. Automated Door Detection with a 3D-Sensor. In: Computer and Robot Vision (CRV), 2014 Canadian Conference on. IEEE; 2014: 276-282.
Meyer zu Borgsen, S., Schöpfer, M., Ziegler, L., & Wachsmuth, S. (2014). Automated Door Detection with a 3D-Sensor. Computer and Robot Vision (CRV), 2014 Canadian Conference on, 276-282. doi:10.1109/CRV.2014.44
Meyer zu Borgsen, Sebastian, Schöpfer, Matthias, Ziegler, Leon, and Wachsmuth, Sven. 2014. “Automated Door Detection with a 3D-Sensor”. In Computer and Robot Vision (CRV), 2014 Canadian Conference on, 276-282. IEEE.
Meyer zu Borgsen, S., Schöpfer, M., Ziegler, L., and Wachsmuth, S. (2014). “Automated Door Detection with a 3D-Sensor” in Computer and Robot Vision (CRV), 2014 Canadian Conference on (IEEE), 276-282.
Meyer zu Borgsen, S., et al., 2014. Automated Door Detection with a 3D-Sensor. In Computer and Robot Vision (CRV), 2014 Canadian Conference on. IEEE, pp. 276-282.
S. Meyer zu Borgsen, et al., “Automated Door Detection with a 3D-Sensor”, Computer and Robot Vision (CRV), 2014 Canadian Conference on, IEEE, 2014, pp.276-282.
Meyer zu Borgsen, S., Schöpfer, M., Ziegler, L., Wachsmuth, S.: Automated Door Detection with a 3D-Sensor. Computer and Robot Vision (CRV), 2014 Canadian Conference on. p. 276-282. IEEE (2014).
Meyer zu Borgsen, Sebastian, Schöpfer, Matthias, Ziegler, Leon, and Wachsmuth, Sven. “Automated Door Detection with a 3D-Sensor”. Computer and Robot Vision (CRV), 2014 Canadian Conference on. IEEE, 2014. 276-282.
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