Next best view planning for object recognition in mobile robotics
Recognising objects in everyday human environments is a challenging task for autonomous mobile robots. However, actively planning the views from which an object might be perceived can significantly improve the overall task performance. In this paper we have designed, developed, and evaluated an appr...
Päätekijät: | McGreavy, C, Kunze, L, Hawes, N |
---|---|
Aineistotyyppi: | Conference item |
Julkaistu: |
CEUR Workshop Proceedings
2017
|
Samankaltaisia teoksia
-
Volumetric Next-best-view Planning for 3D Object Reconstruction with Positioning Error
Tekijä: J. Irving Vasquez-Gomez, et al.
Julkaistu: (2014-10-01) -
Next best view planning with an unstructured representation
Tekijä: Border, RJ
Julkaistu: (2019) -
Interview with Robert Kates, Pathfinder in Sustainability Science
Tekijä: Bridie McGreavy, et al.
Julkaistu: (2012-02-01) -
Editorial: Science and Environmental Journalism: Trends, Boundaries, and Opportunities for a Rapidly Evolving Industry
Tekijä: Hollie Smith, et al.
Julkaistu: (2018-07-01) -
Productivity and profitability in the process industries /
Tekijä: Foumeny, E. A., et al.
Julkaistu: (1992)