Robot vision for the visually impaired

Pradeep, Vivek; Medioni, Gérard; Weiland, James D.

doi:10.1109/cvprw.2010.5543579

Cited by 105 publications

(79 citation statements)

References 24 publications

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“…To provide semantic information to the user, obstacle is classified as walls, steps and doors etc. Pradeep et al [10] have used head mounted stereo vision. Here the authors combine features, based on SLAM and visual odometry to create 3D map in order to detect obstacles.…”

Section: Related Workmentioning

confidence: 99%

Obstacle Detection in Indoor Environment for Visually Impaired Using Mobile Camera

Rahman

Ullah

2018

J. Phys.: Conf. Ser.

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Abstract. Obstacle detection can improve the mobility as well as the safety of visually impaired people. In this paper, we present a system using mobile camera for visually impaired people. The proposed algorithm works in indoor environment and it uses a very simp le technique of using few p re-stored floor images. In indoor environ ment all unique floor types are considered and a single image is stored for each unique floor type. These floor images are considered as reference images. The algorithm acquires an input image frame and then a region of interest is selected and is scanned for obstacle using pre-stored floor images. The algorithm compares the present frame and the next frame and co mpute mean square error of the two frames. If mean square error is less than a threshold value α then it means that there is no obstacle in the next frame. If mean square error is greater than α then there are t wo possibilit ies; either there is an obstacle or the floor type is changed. In order to check if the floor is changed, the algorithm co mputes mean square error of next frame and all stored floor types. If minimu m of mean square error is less than a threshold value α then flour is changed otherwise there exist an obstacle. The proposed algorithm works in real-time and 96% accuracy has been achieved.

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Section: Related Workmentioning

confidence: 99%

Obstacle Detection in Indoor Environment for Visually Impaired Using Mobile Camera

Rahman

Ullah

2018

J. Phys.: Conf. Ser.

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“…Many sensory substitution devices are purpose-specific, for example, to detect obstacles [2,3], facilitate navigation [4,5], or assist in reading [6,7]. By contrast, the BrainPort is designed to assist in a variety of tasks, including light detection, object recognition and orientation and mobility (O&M).…”

Section: Purpose and Scope Of This Reviewmentioning

confidence: 99%

Visual task performance in the blind with the BrainPort V100 Vision Aid

Stronks

Mitchell

Nau

et al. 2016

Expert Review of Medical Devices

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Introduction: The BrainPort ® V100 Vision Aid is a non-invasive assistive device for the blind based on sensory substitution. The device translates camera images into electrotactile stimuli delivered to the tongue. The BrainPort has recently received the CE mark and FDA approval and it is currently marketed to augment, rather than replace, the traditional assistive technologies such as the white cane or guide dog. Areas covered: In this work, we will review the functional studies performed to date with the BrainPort and we will highlight the critical factors that determine device performance, including the technology behind the BrainPort, the impediments to assessing device performance, and the impact of device training and rehabilitation. Expert commentary: The BrainPort enables blind people to perceive light, identify simple objects, recognize short words, localize simple objects, and detect motion and orientation of objects. To achieve this, proper rehabilitation and training regimes are crucial. ARTICLE HISTORY

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“…Leung and Medioni [9] propose an odometry system using stereo images and an inertial measurement unit (IMU) to reduce drift errors. Papers [11][12][13] describe methods focused on obstacle detection and safe path estimation, that employ a stereo pair to improve estimation accuracy. However, stereo cameras are currently quite expensive, bulky and showy, as compared to a standard mobile device.…”

Section: Related Workmentioning

confidence: 99%

Smartphone-Based Obstacle Detection for the Visually Impaired

Caldini

Fanfani

Colombo

2015

Lecture Notes in Computer Science

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Abstract.One of the main problems that visually impaired people have to deal with is moving autonomously in an unknown environment. Currently, the most used autonomous walking aid is still the white can. Though in the last few years more technological devices have been introduced, referred to as electronic travel aids (ETAs). In this paper, we present a novel ETA based on computer vision. Exploiting the hardware and software facilities of a standard smartphone, our system is able to extract a 3D representation of the scene and detect possible obstacles. To achieve such a result, images are captured by the smartphone camera and processed with a modified Structure from Motion algorithm that takes as input also information from the built-in gyroscope. Then the system estimates the ground-plane and labels as obstacles all the structures above it. Results on indoor and outdoor test sequences show the effectiveness of the proposed method.

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Robot vision for the visually impaired

Cited by 105 publications

References 24 publications

Obstacle Detection in Indoor Environment for Visually Impaired Using Mobile Camera

Obstacle Detection in Indoor Environment for Visually Impaired Using Mobile Camera

Visual task performance in the blind with the BrainPort V100 Vision Aid

Smartphone-Based Obstacle Detection for the Visually Impaired

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