Research Article

Driver and Path Detection through Time-Series Classification

Table 9

, precision, recall, accuracy, and training time evaluated by using MLP for different windows sizes.

Average window sizePath kindPath kind recallPath kind precisionAverage path kind precisionAverage path kind recallOverall accuracyTraining time (sec)

1 s
14592 training segments
Highway0,560,670,540,620,63858
City street0,570,61
Dirt road0,490,59

10 s
1459 training segments
Highway0,760,780,710,710,69542
City street0,720,7
Dirt road0,640,66

30 s
486 training segments
Highway0,780,720,770,760,75204
City street0,730,77
Dirt road0,810,78

60 s
243 training segments
Highway0,550,670,550,630,59122
City street0,590,6
Dirt road0,510,63

Start&Stop
7562 training segments
Highway0,920,930,950,940,941542
City Street0,970,94
Dirt road0,950,95