A Shadowcasting-Based Next-Best-View Planner for Autonomous 3D Exploration-Reference-Cited by-同舟云学术

A Shadowcasting-Based Next-Best-View Planner for Autonomous 3D Exploration

Published:2022-04 Issue:2 Volume:7 Page:2969-2976
ISSN:2377-3766
Container-title:IEEE Robotics and Automation Letters
language:
Short-container-title:IEEE Robot. Autom. Lett.

Author:

Batinovic Ana^ORCID,Ivanovic Antun^ORCID,Petrovic Tamara^ORCID,Bogdan Stjepan^ORCID

Funder

Hrvatska Zaklada za Znanost

European Commission

European Social Fund

European Regional Development Fund

Heterogeneous autonomous robotic system in viticulture and mariculture

EU-H2020

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Artificial Intelligence,Control and Optimization,Computer Science Applications,Computer Vision and Pattern Recognition,Mechanical Engineering,Human-Computer Interaction,Biomedical Engineering,Control and Systems Engineering

Link

http://xplorestaging.ieee.org/ielx7/7083369/9647862/09695290.pdf?arnumber=9695290

Reference36 articles.

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3. Efficient Field of Vision Algorithms for Large 2D Grids

4. OctoMap: an efficient probabilistic 3D mapping framework based on octrees

5. Voxblox: Incremental 3D Euclidean Signed Distance Fields for on-board MAV planning

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