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Table 2 Comparison of discussed indoor positioning solutions for people with visual impairments

From: Comparative analysis of computer-vision and BLE technology based indoor navigation systems for people with visual impairments

References

Technology

System

Techniques

Tested by

Test

Feedback

Accuracy

Remarks

Tian et al. [29]

Computer vision

Web camera and mini laptop

Text recognition and door detection

Blinds

Door detection and door signage recognition

Voice

Medium

(−) Motion blur and very large occlusions happen when subjects have sudden head movements

Lee and Medioni [36]

Computer vision

RGB-D camera, IMU, Laptop

Camera motion estimation

Blinds and blindfolded

Pose estimation and mobility experiments

Tactile

Medium

(−) Inconsistency in maps

Manlises et al. [33]

Computer vision

Web camera and computer

CAMShift tracking

Blinds

Object recognition, navigation time

Voice

Medium

(−) Tested with 3 blinds only

Li et al. [37]

Computer vision

Tango mobile device

Obstacle detection, camera motion estimation by combining visual and inertial data

Blindfolded

Error occurred during navigation and navigation time

Voice and Haptic

Good

Using smart cane with the system reduced the errors

Kanwal et al. [38]

Computer vision

RGB camera and Kinect sensor

Corner detection using visual and inertial data

Blind and blindfolded

Obstacle avoidance and walking

Voice

Good

(−) Infrared sensor failed under strong sunlight conditions

Al-Khalifa et al. [40]

Computer vision and motion

Google glass, Android smartphone, QR code

QR code recognition, IMU

Blinds

Error occurred during navigation and navigation time

Voice

Medium

(+) Easy to use

Legge et al. [42]

Computer vision

Digital tags, Tag reader , smartphone

Digital tag recognition

Blinds and Blind folded

Tag detection, Route finding

Voice

Medium

(+) System provided independent navigation

Zeb et al. [43]

Computer vision

Web cam, AR markers

AR marker recognition

Blinds

Normal walking

Voice

Medium

Low cost

Ahmetovic et al. [48]

BLE

Beacons and smartphone

Fingerprinting, IMU

Blinds

Normal occurred events that hinder the navigation

Voice

Medium

(−) Can’t inform the users that they are in wrong way

Kim et al. [49]

BLE

Beacons and smartphone

Proximity detection, IMU

Blinds

Navigation time, task completion, deviation during navigation

Tactile and voice

Good

(+) Test was carried out in a large area (busy railway station)

Cheraghi et al. [50]

BLE

Beacons and smartphone

Proximity detection, IMU

Blinds

navigation time, Navigation distance

Haptic and voice

Medium

Improvements are required to support varying pace of walking