Mathematical Problems in Engineering / 2017 / Article / Fig 9

Research Article

A New Terrain Classification Framework Using Proprioceptive Sensors for Mobile Robots

Figure 9

Accuracies obtained using the proposed terrain classification framework as a function of number of optimal features: (a) Accuracies of SVM; (b) accuracies of RF; (c) accuracies of kNN; and (d) accuracies of NB. The horizontal axis indicates the number of selected optimal features (dimension of optimal feature vector). The accuracies were measured for three different driving speeds.
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