Table 1 Summary of related work.
From: Optimal selective floor cleaning using deep learning algorithms and reconfigurable robot hTetro
Author | Algorithm | Application |
|---|---|---|
Spectral residual filter | Dirt and Mud detection on floor | |
Andersen et al.10 | multivariable statistical approach | Dirt detection |
Milinda et al.13 | Spectral residual filter + Maximally Stable Extremal Regions | Dirt and mud detection |
Martinez et al.16 | median filter and the thresholding technique | Dust detection |
Bala et al.6 | periodic pattern detection filter | Dirt region mapping |
Zhihong et al.,21 | (RPN) and VGG-16 | Trash sorting |
Rad et al.20 | OverFeat GoogleNet | Trash detection |
Gaurav et al.21 | AlexNet | Trash detection |
Ramalingam et al.7 | SSD MobileNet | Debris detection and classification |
Yin et al.2 | 16 layer CNN | Food strains and trash detection |
Chen et al.21 | Fast RCNN | Trash sorting |
Proposed system | Deep SORT and SSD MobileNet | Selective area cleaning/spot cleaning |
