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Table 5 Summary of signal processing methods for pothole detection and roughness index estimation

From: Response-based methods to measure road surface irregularity: a state-of-the-art review

System name/by

Signal processing

Function

Approach

Additional

PD

RE

C

F

S

GPS

Data

Crowd

UNIquaALroad[78, 79]

high-energy events

   

 

Smart patrolling [80]

filter + DTW (adaptive)

   

 

Smart Probe Car [81]

anomaly index heuristic (adaptive AI)

   

[72]

Z-acc, Gaussian model

   

   

[73]

Z-thresh, G-zero combined

   

 

 

[74]

Fuzzy logic

   

   

[75, 76]

time-frequency analysis

   

   

[77]

Greedy heuristic algorithm

  

 

 

[90]

Maximum Likelihood-based

 

     

RCM-TAGPS [82, 83]

PSD + empirical formula

 

IRI

     

[84]

RMS acceleration

 

IRI

     

[85]

RMS acceleration

 

IRI

  

   

STAMPER [86]

filter + IRI

 

IRI

     

[87, 88]

Filter + FFT

 

IRI

  

   

IPEM [89]

Inverse pseudo-excitation method

 

IRI

     

[60]

IRI-proxy

IRI-proxy

  

 

SmartRoadSense

[91, 92]

PSD + Linear Predictive Coding

 

Relative

  

[93]

Correlation-Averaging Algorithm

  

 

RIF [95,96,97,98,99,100,101]

RIF-transform, TWIT

New