Relative Positioning Method for UAVs Based on Multi-Source Information Fusion

<table class="table-group" id="tab2"><tr><td><table class="table"><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Light spot order</td><td class="align_center"><i>X</i><sub><i>i</i></sub>/km</td><td class="align_center"><i>Y</i><sub><i>i</i></sub>/km</td><td class="align_center"><i>Z</i><sub><i>i</i></sub>/km</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">1</td><td class="align_center">0</td><td class="align_center">2.25</td><td class="align_center">0</td></tr><tr><td class="align_left">2</td><td class="align_center">4.25</td><td class="align_center">0</td><td class="align_center">0</td></tr><tr><td class="align_left">3</td><td class="align_center">–3.75</td><td class="align_center">0</td><td class="align_center">2.5</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>List of characteristic light spot locations.</div>

Mathematical Problems in Engineering

tab2

Table 2

Table 2: Relative Positioning Method for UAVs Based on Multi-Source Information Fusion 