Large-Scale Autonomous Flight With Real-Time Semantic SLAM Under Dense Forest Canopy

@article{Liu2022LargeScaleAF,
  title={Large-Scale Autonomous Flight With Real-Time Semantic SLAM Under Dense Forest Canopy},
  author={Xu Liu and Guilherme V. Nardari and Fernando Cladera Ojeda and Yuezhan Tao and Alex Zhou and Thomas Donnelly and Chao Qu and Steven W. Chen and Roseli Ap. Francelin Romero and Camillo Jose Taylor and Vijay R. Kumar},
  journal={IEEE Robotics and Automation Letters},
  year={2022},
  volume={7},
  pages={5512-5519}
}
Semantic maps represent the environment using a set of semantically meaningful objects. This representation is storage-efficient, less ambiguous, and more informative, thus facilitating large-scale autonomy and the acquisition of actionable information in highly unstructured, GPS-denied environments. In this letter, we propose an integrated system that can perform large-scale autonomous flights and real-time semantic mapping in challenging under-canopy environments. We detect and model tree… 

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