Recognition, location, and depth estimation of objects in electrical substations-Reference-Cited by-同舟云学术

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Recognition, location, and depth estimation of objects in electrical substations

Published:2023-10-09 Issue: Volume: Page:
ISSN:
Container-title:2023 Latin American Robotics Symposium (LARS), 2023 Brazilian Symposium on Robotics (SBR), and 2023 Workshop on Robotics in Education (WRE)
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Author:

Lexinoski Gilberto¹,Teixeira Marco A. S.²,Lazzaretti André E.³,Toledo Luiz F. R. B.⁴,Lopes Heitor S.³,Travassos Gustavo⁵,Fonseca Mario Jambeiro⁵

Affiliation:

1. CPGEI-UTFPR, LACTEC,Curitiba,Brazil

2. PPGIa -PUCPR,Curitiba,Brazil

3. CPGEI-UTFPR,Curitiba,Brazil

4. LACTEC,Curitiba,Brazil

5. NEOENERGIA,Curitiba,Brazil

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10332459/10332917/10333013.pdf?arnumber=10333013

Reference10 articles.

1. Robotics in Power Systems: Enabling a More Reliable and Safe Grid

2. All-weather autonomous inspection robot for electrical substations

3. A Deep Learning and Depth Image based Obstacle Detection and Distance Measurement Method for Substation Patrol Robot

4. Cooperative Heterogeneous Robots for Autonomous Insects Trap Monitoring System in a Precision Agriculture Scenario

5. An intelligent robot for indoor substation inspection

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