Improving Visual Feature Extraction in Glacial Environments

@article{Morad2020ImprovingVF,
  title={Improving Visual Feature Extraction in Glacial Environments},
  author={Steven Morad and J. Nash and Shoya Higa and R. Smith and A. Parness and Kobus Barnard},
  journal={IEEE Robotics and Automation Letters},
  year={2020},
  volume={5},
  pages={385-390}
}
Glacial science could benefit tremendously from autonomous robots, but previous glacial robots have had perception issues in these colorless and featureless environments, specifically with visual feature extraction. This translates to failures in visual odometry and visual navigation. Glaciologists use near-infrared imagery to reveal the underlying heterogeneous spatial structure of snow and ice, and we theorize that this hidden near-infrared structure could produce more and higher quality… Expand

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