An RGB-D-Based Cross-Field of View Pose Estimation System for a Free Flight Target in a Wind Tunnel

<table class="figure-group"><tr class="fig-image" id="a"><td><object data="https://static-preview.hindawi.com/articles/complexity/volume-2018/7358491/figures/7358491.fig.006a.svgz" name="7358491.fig.006a" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(a) </b>translate1</td></tr><tr class="fig-image" id="b"><td><object data="https://static-preview.hindawi.com/articles/complexity/volume-2018/7358491/figures/7358491.fig.006b.svgz" name="7358491.fig.006b" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(b) </b>translate2</td></tr><tr class="fig-image" id="c"><td><object data="https://static-preview.hindawi.com/articles/complexity/volume-2018/7358491/figures/7358491.fig.006c.svgz" name="7358491.fig.006c" type="image/svg+xml"></object></td></tr><tr class="fig-caption"><td><b>(c) </b>translate3</td></tr></table>

<div>Comparison between the ground truth, our estimated trajectory, and Co-fusion’s estimated trajectory on the translate sequence.</div>

Complexity

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Figure 6

Figure 6: An RGB-D-Based Cross-Field of View Pose Estimation System for a Free Flight Target in a Wind Tunnel 