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. 2015 Sep 18;15(9):23805–23846. doi: 10.3390/s150923805

Table 1.

Comparison of the studies on the visual detection of aerial vehicles.

Study Vehicle Detection Method Detection Performance Motion Blur Training Time Testing Time Background Complexity Environment Distance Estimation
Lin et al., 2014 mUAV Boosted cascaded classifiers with Haar-like features No No No No Medium Outdoor Yes (low accuracy)
Zhang et al., 2014 mUAV Boosted cascaded classifiers with Haar-like features No No No No Medium Outdoor Yes (low accuracy)
Petridis et al., 2008 Aircraft Boosted cascaded classifiers with Haar-like features Yes No No No High Outdoor No
Dey et al., 2009; 2011 Aircraft Morphological filtering Yes No NA No Low Outdoor No
Lai et al., 2011 mUAV Morphological filtering Yes Yes NA Yes High Outdoor No
Current study mUAV Boosted cascaded classifiers with Haar-like, LBP and HOG features Yes Yes Yes Yes High Indoor and Outdoor Yes