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\begin{table}[] \caption{The final root mean square error (RMSE) of each approach.\label{tab1}} \begin{adjustwidth}{-\extralength}{0cm} \centering \begin{tabular}{ccccc} \multicolumn{5}{c}{RMSE IN MAP EXPERIMENT.} \\ \hline \multirow{2}{*}{Sequence} & \multirow{2}{*}{Length(km)} & \multicolumn{3}{c}{Proposed RMSE(m)} \\ \cline{3-5} & & VO Map & & VO + GNSS Map \\ \hline FlySImulation-Data1 & 58.991 & 2.727 & & 0.907 \\ FlyReal-Data1 & 31.542 & 13.274 & & 0.838 \\ CarReal-Data1 & 4.986 & 5.51 & & 0.655 \\ \hline \multicolumn{5}{c}{} \\ \multicolumn{5}{c}{RMSE IN LOCALIZATION EXPERIMENT.} \\ \hline \multirow{3}{*}{Sequence} & \multirow{3}{*}{Length(km)} & \multicolumn{3}{c}{Proposed RMSE(m)} \\ \cline{3-5} & & VO Map & VO + GNSS Map & VO + GNSS Map \\ & & VO Localization & VO Localization & VO + GNSS Localization \\ \hline FlySImulation-Data2 & 3.14 & 4.69 & 2.232 & 0.919 \\ FlyReal-Data2 & 9.94 & 15.59 & 3.043 & 2.431 \\ FlyReal-Data3 & 16.8 & 12.728 & 2.962 & 2.502 \\ CarReal-Data2 & 1.35 & 16.334 & 2.204 & 2.116 \\ \hline \end{tabular} \end{adjustwidth} \end{table}
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标签:latex,表格,Map,RMSE,VO,GNSS,hline,multicolumn From: https://www.cnblogs.com/gooutlook/p/17689211.html