Information-Fusion Methods Based Simultaneous Localization and Mapping for Robot Adapting to Search and Rescue Postdisaster Environments

<table class="fixed-width table-group" id="tab2"><tr><td><table class="table"><colgroup><col style="width:9.08em"/><col style="width:9.08em"/><col style="width:10.75em"/><col style="width:9.08em"/></colgroup><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr class="thead"><td class="align_left">Different sensors</td><td class="align_center">Single-sensor<br/>error mean (cm)</td><td class="align_center">Measurements fusion<br/>error mean (cm)</td><td class="align_center">Trajectories fusion<br/>error mean (cm)</td></tr><tr><td class="thead-hr" colspan="4"><hr/></td></tr><tr><td class="align_left">Sensor 1</td><td class="align_center">0.6301</td><td class="align_center" rowspan="3">0.4125</td><td class="align_center" rowspan="3">0.4162</td></tr><tr><td class="align_left">Sensor 2</td><td class="align_center">0.8131</td></tr><tr><td class="align_left">Sensor 3</td><td class="align_center">0.7878</td></tr><tr class="table-tr"><td colspan="4"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>The comparison errors between mobile robot’s trajectories and two approaches of fusion trajectory.</div>

Journal of Robotics

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Table 2

Table 2: Information-Fusion Methods Based Simultaneous Localization and Mapping for Robot Adapting to Search and Rescue Postdisaster Environments 