Optimization of Dynamic Obstacle Avoidance Path of Multirotor UAV Based on Ant Colony Algorithm

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-preview.hindawi.com/articles/wcmc/volume-2022/1299434/figures/1299434.fig.008a.svgz" name="1299434.fig.008a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>The number of newly detected obstacles is 2</td></tr><tr class="fig-image" id="b"><td><object data="https://static-preview.hindawi.com/articles/wcmc/volume-2022/1299434/figures/1299434.fig.008b.svgz" name="1299434.fig.008b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>The UAV replans its path</td></tr></table>

<div>Simulation results of path replanning with the number of sudden obstacles being 2.</div>

Wireless Communications and Mobile Computing

fig8

Figure 8

Figure 8: Optimization of Dynamic Obstacle Avoidance Path of Multirotor UAV Based on Ant Colony Algorithm 