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Robust Visual Terrain Classification with Recurrent Neural ...
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由 S Otte 著作被引用 13 次 — Abstract. A novel approach for robust visual terrain classification by generating feature sequences on repeatedly mutated image patches is pre- sented.
[PDF] Robust Visual Terrain Classification with Recurrent Neural ...
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A novel approach for robust visual terrain classification by generating feature sequences on repeatedly mutated image patches by learning Recurrent Neural ...
Robust Visual Terrain Classification with Recurrent Neural ...
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In such approaches, features extracted using local ternary patterns are used on sequences of mutated images and classified using Recurrent Neural Network (RNN) ...
Robust Visual Terrain Classification with Recurrent Neural ...
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Robust Visual Terrain Classification with Recurrent Neural Networks ; Tübinger Autor(en):. Otte, Sebastian · Laible, Stefan · Hanten, Richard · Zell, Andreas ...
Recurrent and convolutional neural networks for deep ...
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由 F Vulpi 著作2021被引用 53 次 — This paper tackles the terrain classification problem for rough terrain vehicles relying on proprioceptive sensing and deep learning.
Sebastian Otte
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Recurrent neural networks for fast and robust vibration-based ground classification on mobile robots S Otte, C Weiss, T Scherer, A Zell
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Recurrent Neural Networks for fast and robust vibration- ...
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Accelerometers, which measure linear acceleration in one or more axes, offer a lowcost alternative for terrain classification in the case of mobile robots, and ...
Stefan Laible
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Co-authors ; Robust Visual Terrain Classification with Recurrent Neural Networks. S Otte, S Laible, R Hanten, M Liwicki, A Zell. European Symposium on Artificial ...
A CNN Based Vision-Proprioception Fusion Method for ...
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由 Y Chen 著作2021被引用 20 次 — This letter proposes a fast, compact, and motion-robust, proprioception-based terrain classification method.
Recurrent and convolutional neural networks for deep terrain ...
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Proprioceptive sensing is effective in predicting terrain type with an accuracy higher than 90% for both algorithms in generalization tasks and when the two ...
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