Autonomous Power Line Inspection with Drones via Perception-Aware MPC-Reference-Cited by-同舟云学术

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Autonomous Power Line Inspection with Drones via Perception-Aware MPC

Published:2023-10-01 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)
language:
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Author:

Xing Jiaxu¹,Cioffi Giovanni¹,Hidalgo-Carrió Javier¹,Scaramuzza Davide¹

Affiliation:

1. Robotics and Perception Group, University of Zurich,Department of Informatics,Switzerland

Funder

Swiss National Science Foundation (SNSF)

National Centre of Competence in Research (NCCR) Robotics

European Union

European Research Council (ERC)

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10341341/10341342/10341871.pdf?arnumber=10341871

Reference53 articles.

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1. STHN: Deep Homography Estimation for UAV Thermal Geo-Localization With Satellite Imagery;IEEE Robotics and Automation Letters;2024-10

2. UPKD: Unsupervised pylon keypoint detection from 3D LiDAR data for autonomous UAV power inspection;International Journal of Applied Earth Observation and Geoinformation;2024-09

3. Event-driven nearshore and shoreline coastline detection on SpiNNaker neuromorphic hardware;Neuromorphic Computing and Engineering;2024-09-01

4. Autonomous multiple‐trolley collection system with nonholonomic robots: Design, control, and implementation;Journal of Field Robotics;2024-07-18

5. Active View Planner for Infrastructure 3D Reconstruction;2024 IEEE 18th International Conference on Control & Automation (ICCA);2024-06-18

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