Research on UUV Obstacle Avoiding Method Based on Recurrent Neural Networks

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static.hindawi.com/articles/complexity/volume-2019/6320186/figures/6320186.fig.0019a.svgz" name="6320186.fig.0019a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>Obstacle moves relative to UUV</td></tr><tr class="fig-image" id="b"><td><object data="https://static.hindawi.com/articles/complexity/volume-2019/6320186/figures/6320186.fig.0019b.svgz" name="6320186.fig.0019b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>Obstacle moves in the same direction with UUV</td></tr><tr class="fig-image" id="c"><td><object data="https://static.hindawi.com/articles/complexity/volume-2019/6320186/figures/6320186.fig.0019c.svgz" name="6320186.fig.0019c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>Obstacle moves crossing with UUV</td></tr></table>

<div>Online planning results of LSTM45 in several dynamic environments.</div>

Complexity

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Figure 19

Figure 19: Research on UUV Obstacle Avoiding Method Based on Recurrent Neural Networks 