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Long-Term Autonomy in Forest Environment using Self-Corrective SLAM
The algorithm adds new iterative closest point (ICP) cases to the initial SLAM and measures the resulting map quality by the mean of the root mean squared error (RMSE) of individual tree clusters.
Estimating the Prediction Performance of Spatial Models via Spatial k-Fold Cross Validation
To overcome this problem we propose a modified version of the CV method called spatial k-fold cross validation (SKCV), which provides a useful estimate for model prediction performance without optimistic bias due to SAC.
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