A tightly coupled cross-modal perception and manifold-aware control framework for autonomous wind turbine inspection
Authors:
- Liang ChengLCLiang Cheng
- Hang ShengHSHang Sheng
- Hui FengHFHui Feng
- Bo HuBHBo Hu
- 14 June 2026
- journal article
- Published by Elsevier in Measurement
- Vol. 284
Abstract
No abstract availableThis publication has 23 references indexed in Scilit:
- A survey of sensors based autonomous unmanned aerial vehicle (UAV) localization techniquesComplex & Intelligent Systems, 2025
- VecMapLocNet: Vision-based UAV localization using vector maps in GNSS-denied environmentsISPRS Journal of Photogrammetry and Remote Sensing, 2025
- Unmanned surface vessel routing and unmanned aerial vehicle swarm scheduling for off-shore wind turbine blade inspectionExpert Systems with Applications, 2025
- RID-LIO: robust and accurate intensity-assisted LiDAR-based SLAM for degenerated environmentsMeasurement Science and Technology, 2025
- Multi-modal image fusion of visible and infrared for precise positioning of UAVs in agricultural fieldsComputers and Electronics in Agriculture, 2025
- PnP-epipolar optimization approach for VSLAM using robust pose predictionEngineering Research Express, 2025
- IFAL-SLAM: an approach to inertial-centered multi-sensor fusion, factor graph optimization, and adaptive Lagrangian methodMeasurement Science and Technology, 2024
- UAV based defect detection and fault diagnosis for static and rotating wind turbine blade: a reviewNondestructive Testing and Evaluation, 2024
- Advanced wind turbine blade inspection with hyperspectral imaging and 3D convolutional neural networks for damage detectionEnergy and AI, 2024
- Review on the Advancements in Wind Turbine Blade Inspection: Integrating Drone and Deep Learning Technologies for Enhanced Defect DetectionIEEE Access, 2024