Research on the Application of Visual SLAM in Embedded GPU

<table class="table-group" id="tab1"><tr><td><table class="table"><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr class="thead"><td class="align_left">Parameter</td><td class="align_center">Technical specifications</td></tr><tr><td class="thead-hr" colspan="2"><hr/></td></tr><tr><td class="align_left">CPU</td><td class="align_center">ARM Cortex-A57 (quad-core) 2 GHz+NVIDIA Denver2 (dual-core) 2 GHz</td></tr><tr><td class="align_left">GPU</td><td class="align_center">256 CUDA-COREs Pascal 1.30 GHz</td></tr><tr><td class="align_left">Memory</td><td class="align_center">8 GB 128-bit LPDDR4 1866 MHz</td></tr><tr><td class="align_left">Storage</td><td class="align_center">32 GB eMMC 5.1</td></tr><tr><td class="align_left">TDP</td><td class="align_center">7.5 W</td></tr><tr><td class="align_left">Size</td><td class="align_center"><span style="width: 85.7221ptpx;"><svg height="8.69875pt" id="M1" style="vertical-align:-0.3499298pt" version="1.1" viewbox="-0.0498162 -8.34882 85.7221 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colspan="2"><hr class="tbody-hr"/></td></tr></table></td></tr></table>

<div>TX2 main performance indicators.</div>

Wireless Communications and Mobile Computing

tab1

Table 1

Table 1: Research on the Application of Visual SLAM in Embedded GPU 