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Image-Based Road Terrain Classification
2019The images of different road terrain types present abundant information and significantly different characteristics. Hence, it is considered to use a camera to capture images of road surfaces in an attempt to overcome the issues found using accelerometer data only.
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Acceleration-Based Road Terrain Classification
2019Road-type classification is the process of categorizing road terrain into different types such as asphalt, concrete, grass and gravel. Intuitively, the amount of vibration that is caused by a vehicle navigating on a particular road type is a valuable source of information.
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Target-Terrain Classification and Detection Performance
Proceedings of the Human Factors Society Annual Meeting, 1978The interactive effects of target and background characteristics were investigated. Five multiple-vehicle target conditions that varied in number and configuration were embedded into oblique aerial photographs of real terrain. Target proximity to roads was manipulated, and terrain complexity was evaluated by a subjective scale of scene heterogeneity ...
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The Relationship between Site Classification and Terrain Classification
1986With a certain abstraction one can define site classification (or site mapping) as a means of grouping forest sites according to their capability of growing trees and terrain classification as a means of grouping forest land according to ease or difficulty of forest operations.
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SVMs for Vibration-Based Terrain Classification
2007When an outdoor mobile robot traverses different types of ground surfaces, different types of vibrations are induced in the body of the robot. These vibrations can be used to learn a discrimination between different surfaces and to classify the current terrain. Recently, we presented a method that uses Support Vector Machines for classification, and we
Christian Weiss +2 more
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Multiple-Sensor Based Road Terrain Classification
2019In the previous chapters, road terrain classification using an accelerometer, a camera and a downward facing LRF has been investigated.
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Self-Supervised Visual Terrain Classification From Unsupervised Acoustic Feature Learning
IEEE Transactions on Robotics, 2021Jannik Zürn +2 more
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New approach to cancer therapy based on a molecularly defined cancer classification
Ca-A Cancer Journal for Clinicians, 2014Javier Cortes +2 more
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