Abstract
In this work, we propose an active scene perception system through next best view planning for robots operating in table-top scenarios. Viewpoint evaluation, candidate viewpoint generation and next best view planning steps are implemented using a voxel based method for the proposed system. The performance of the system is analyzed in simulation experiments, and the system is shown to be applicable in real time environments. The proposed best n-view local search strategy provides the highest performance.
Translated title of the contribution | Next Best View Planning in Table-top Scenarios |
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Original language | Turkish |
Title of host publication | 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9781728172064 |
DOIs | |
Publication status | Published - 5 Oct 2020 |
Event | 28th Signal Processing and Communications Applications Conference, SIU 2020 - Gaziantep, Turkey Duration: 5 Oct 2020 → 7 Oct 2020 |
Publication series
Name | 2020 28th Signal Processing and Communications Applications Conference, SIU 2020 - Proceedings |
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Conference
Conference | 28th Signal Processing and Communications Applications Conference, SIU 2020 |
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Country/Territory | Turkey |
City | Gaziantep |
Period | 5/10/20 → 7/10/20 |
Bibliographical note
Publisher Copyright:© 2020 IEEE.