Výsledky vyhledávání - "Arrowsmith J"

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Autonomous Robotic Mapping of Fragile Geologic Features

Autor: Chen, Zhiang, Arrowsmith, J Ramon, Das, Jnaneshwar

Robotic mapping is useful in scientific applications that involve surveying unstructured environments. This paper presents a target-oriented mapping system for sparsely distributed geologic surface features, such as precariously balanced rocks (PBRs)

Externí odkaz: http://arxiv.org/abs/2105.01287

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Localization and Mapping of Sparse Geologic Features with Unpiloted Aircraft Systems

Autor: Chen, Zhiang, Bearman, Sarah, Arrowsmith, J Ramon, Das, Jnaneshwar

Robotic mapping is attractive in many scientific applications that involve environmental surveys. This paper presents a system for localization and mapping of sparsely distributed surface features such as precariously balanced rocks (PBRs), whose geo

Externí odkaz: http://arxiv.org/abs/2007.01220

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Geomorphological Analysis Using Unpiloted Aircraft Systems, Structure from Motion, and Deep Learning

Autor: Chen, Zhiang, Scott, Tyler R., Bearman, Sarah, Anand, Harish, Keating, Devin, Scott, Chelsea, Arrowsmith, J Ramon, Das, Jnaneshwar

Publikováno v: 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)

We present a pipeline for geomorphological analysis that uses structure from motion (SfM) and deep learning on close-range aerial imagery to estimate spatial distributions of rock traits (size, roundness, and orientation) along a tectonic fault scarp

Externí odkaz: http://arxiv.org/abs/1909.12874

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