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Research on the mechanism of multiple key strata controlling overburden movement and their classification in bedrock gully. [PDF]
Sci RepMa Z, Chai J, Zhang D, Yang J.
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Japanese Dietary Pattern and All-Cause and Cardiovascular Disease Mortality Across Diverse Topographical Settings: The Japan Collaborative Cohort Study. [PDF]
Geriatr Gerontol IntShimizu A +6 more
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Terrain classification for a UGV
SPIE Proceedings, 2005This work addresses the issue of Terrain Classification that can be applied for path planning for an Unmanned Ground Vehicle (UGV) platform. We are interested in classification of features such as rocks, bushes, trees and dirt roads. Currently, the data is acquired from a color camera mounted on the UGV as we can add range data from a second sensor in ...
Alok Sarwal, Chris Baker, Mark Rosenblum
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Robotics and Autonomous Systems, 2014 Direct terrain classification from monocular images for autonomous navigation of planetary rovers is a relatively new and challenging research area, not only because of the hardware limitation of a rover, but also because the rocks and obstacles to be ...
Conrad Spiteri, Yang Gao, Said Al-Milli
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Latent Representations of Terrain in Aerial Image Classification [PDF]
CEUR Workshop Proceedings, Vol-3013: Proceedings of the 17th International Conference on ICT in Education, Research and Industrial Applications.
Integration, Harmonization and Knowledge Transfer. Volume I: Main Conference, PhD Symposium, and Posters, 2021 Investigation of informative representations of complex data is a rapidly developing field of research in machine learning. In this work we present a process of production and analysis of informative low-dimensional latent representations of real-world image data with neural network models of unsupervised generative learning.
Pylyp Prystavka +3 more
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The Classification of the Terrain by a Hexapod Robot
2013This paper presents a new approach to the terrain classification by a hexapod robot using the tactile information. The data was acquired using the force/torque sensor mounted on the walking robot foot. Two types of classifiers were used and compared: the Normal Bayes Classifier (NBC) and the Classification And Regression Tree (CART).
Adam Schmidt, Krzysztof Walas
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