Review Article

A State-of-the-Art Review on Mapping and Localization of Mobile Robots Using Omnidirectional Vision Sensors

Table 1

Main features of the frameworks that use omnidirectional vision systems to solve the mapping and localization problems.

Reference ApproachType of imageType of mapFeaturesDescription

[112]5.1OmnidirectionalMetricLocalColour
[113]5.1OmnidirectionalMetricLocalFAST-CSLBP
[114]5.1OmnidirectionalMetricLocalLKOF
[84, 115]5.1OmnidirectionalTopologicalLocalMSIFT
[116]5.1OmnidirectionalTopologicalLocalSIFT
Invariant column segments
[98]5.1PanoramicTopologicalGlobalFourier Signature
[118]5.1PanoramicTopologicalGlobalFACT descriptor
[119]5.1PanoramicTopologicalGlobalColor histograms
[63]5.1PanoramicTopologicalGlobalFourier Signature
[120]5.1PanoramicTopologicalGlobalVarious
[121]5.1OmnidirectionalTopologicalGlobalGIST
[122]5.1PanoramicTopologicalGlobalFourier Signature
[95]5.1PanoramicTopologicalGlobalPCA features
[60, 123]5.1OmnidirectionalTopologicalGlobalSpherical Fourier Transform
[124]5.1OmnidirectionalMetricLocalSIFT
[125]5.2PanoramicMetricLocalVertical edges
[126]5.2PanoramicMetricLocalContours of objects
[127]5.2OmnidirectionalMetricLocalVertical + horizontal lines
[128]5.2OmnidirectionalMetricLocalSURF
[129]5.2OmnidirectionalMetricGlobalDistance map
[130]5.2OmnidirectionalMetricLocalSURF
[131]5.2PanoramicHybridGlobalFourier Signature
[132]5.2PanoramicSequence imagesLocalLandmarks after reliability test
[133]5.3PanoramicSequence imagesLocalKLT corner detection
[134]5.3OmnidirectionalSequence imagesLocalSIFT (improved)
[135]5.3PanoramicSequence imagesGlobalPortion of the image
[100]5.3PanoramicSequence imagesGlobalFourier Signature
[136]5.1, 5.3OmnidirectionalTopological
sequence images
GlobalRadon transform
[137]5.3OmnidirectionalSequence imagesGlobalSURF
[138]5.3Unit sphere proj.
panor., orthographic
Sequence imagesGlobalSpherical Fourier Transform
Discrete Fourier Transform