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.

We are committed to sharing findings related to COVID-19 as quickly and safely as possible. Any author submitting a COVID-19 paper should notify us at to ensure their research is fast-tracked and made available on a preprint server as soon as possible. We will be providing unlimited waivers of publication charges for accepted articles related to COVID-19. Sign up here as a reviewer to help fast-track new submissions.