Research of Obstacle Recognition Technology in Cross-Country Environment for Unmanned Ground Vehicle

<table class="table-group" width="800px"><tr class="fig-image" id="a"><td><img alt="531681.fig.004a" src="https://static-preview.hindawi.com/articles/mpe/volume-2014/531681/figures/531681.fig.004a.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(a) </b>Before being improved</td></tr></table></td></tr><tr class="fig-image" id="b"><td><img alt="531681.fig.004b" src="https://static-preview.hindawi.com/articles/mpe/volume-2014/531681/figures/531681.fig.004b.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(b) </b>HSI color space</td></tr></table></td></tr><tr class="fig-image" id="c"><td><img alt="531681.fig.004c" src="https://static-preview.hindawi.com/articles/mpe/volume-2014/531681/figures/531681.fig.004c.jpg"/></td></tr><tr class="fig-caption"><td align="center"><table><tr><td><b>(c) </b>After being improved</td></tr></table></td></tr></table>

<table>The results of improved Fisher segmentation method.</table>

Mathematical Problems in Engineering

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Figure 4

Figure 4: Research of Obstacle Recognition Technology in Cross-Country Environment for Unmanned Ground Vehicle 