2016
DOI: 10.1016/j.ifacol.2016.11.149
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Indoor Navigation Assistant for Visually Impaired by Pedestrian Dead Reckoning and Position Estimative of Correction for Patterns Recognition

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Cited by 7 publications
(7 citation statements)
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“…Examples include Bai et al [27] and Mocanu et al [54] that added an ultrasonic sensor to compensate for the limitations of the camera (transparent objects, larger obstructions like walls or doors). The combination of ultrasonic sensors and computer-based technologies reported positive evaluations, including high accuracy in obstacles detection [64], decrease in navigation time [32], [65], reduction of collisions [34], [48], and detection of complex obstacles such as stairs [64], and moving obstacles [54].…”
Section: Technologies 1) Obstacle Detection and Location Identificationmentioning
confidence: 99%
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“…Examples include Bai et al [27] and Mocanu et al [54] that added an ultrasonic sensor to compensate for the limitations of the camera (transparent objects, larger obstructions like walls or doors). The combination of ultrasonic sensors and computer-based technologies reported positive evaluations, including high accuracy in obstacles detection [64], decrease in navigation time [32], [65], reduction of collisions [34], [48], and detection of complex obstacles such as stairs [64], and moving obstacles [54].…”
Section: Technologies 1) Obstacle Detection and Location Identificationmentioning
confidence: 99%
“…Evaluation including visually impaired participants was featured in 37 studies (60.66%), either as the only sample (n = 26), or in combination with sighted blindfolded participants (n = 7), with a control group for the same experiments (n = 2), or with sighted participants for different experiments (n = 2). Seven publications did not provide details about the sample [25], [27], [35], [45], [65], [66], [77].…”
Section: ) User Experiencementioning
confidence: 99%
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