Visual Information Assist System Using 3D SOKUIKI Sensor for Blind People, System Concept and Object Detecting Experiments

Ueda, Tatsuro; Kawata, Hirohiko; Tomizawa, Tetsuo; Ohya, Akihisa; Yuta, S.

doi:10.1109/iecon.2006.347767

Cited by 20 publications

(17 citation statements)

References 6 publications

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“…The URG-04LX-UG01 [5] is a small and light LRF sensor. Its high accuracy, high resolution, and wide range provide a good solution for 2D scanning.…”

Section: Guide Robotmentioning

confidence: 99%

“…On the other hand, indoor devices use ultrasound or radio frequency identification transponder for localization and LRF for obstacle identification and avoidance. [5][6][7][8][9][10][11] For example, Ueda et al [5] proposed a new system, which gives blind people information of the environment. The person is equipped with two LRFs and a PC placed in his body.…”

Section: Introductionmentioning

confidence: 98%

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Guide robot intelligent navigation in urban environments

2014

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This paper presents an intelligent robotic system to guide visually impaired people in urban environments. The robot is equipped with two laser range finders, global positioning system (GPS), camera, and compass sensors. All the sensors data are processed by a single laptop computer. We have implemented different navigation algorithms enabling the robot to move autonomously in different urban environments. In pedestrian walkways, we utilize the distance to the edge (left, right, or both) to determine the robot steering command. In difference from pedestrian walkways, in open squares where there is no edge information, artificial neural networks map the GPS and compass sensor data to robot steering command guiding the visually impaired to the goal location. The neural controller is designed such as to be employed even in environments different from those in which they have been evolved. Another important advantage is that a single neural network controls the robot to reach multiple goal locations inside the open square. The proposed algorithms are verified experimentally in a navigation task inside the University of Toyama Campus, where the robot moves from the initial to goal location.

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“…The URG-04LX-UG01 [5] is a small and light LRF sensor. Its high accuracy, high resolution, and wide range provide a good solution for 2D scanning.…”

Section: Guide Robotmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 98%

Guide robot intelligent navigation in urban environments

2014

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“…Also, there were already some proposals on the system, in which people holds the sensor, and the sensor takes distances and directions information at the three dimensional space in in-building environment [5] [6]. However, the proposal of Ueda and et al [5] do not achieve to estimate the motion distance and make the map.…”

Section: Introductionmentioning

confidence: 99%

Transportable laser range sensing system for estimation of three dimensional motion distance and map making using in-building shape feature

Matsumoto

Yuta

2011

2011 IEEE International Conference on Robotics and Biomimetics

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This paper reports a transportable system for estimating a three dimensional motion distance and making a map in the building environment. This system takes three dimensional laser reflecting points information, and integrates them to make a map in the point cloud format after the estimation of sensing position using the three dimensional motion estimation. It estimates the self-location using the information of surfaces of walls, posts and ceilings as feature of the in-building environment. We have developed the prototype system using a three dimensional scanning unit with the roundly swinging mechanism, and an posture sensor unit. The experimental results have shown the effectiveness of the three dimensional estimation of motion distance method designed for this system.

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“…A visual information assist system [35] uses the 3-D SOKUIKI sensor (which is a kind of laser range sensors) to recognize bumps and trenches that correspond to the first steps of upstairs and downstairs, respectively. A user can know the information about the recognized objects by use of synthesized sounds such as "Steps, 11 o'clock, position, 2 m from you."…”

Section: Introductionmentioning

confidence: 99%

Kinect cane: Object recognition aids for the visually impaired

Takizawa

Yamaguchi

Aoyagi

et al. 2013

2013 6th International Conference on Human System Interactions (HSI)

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This paper proposes a novel concept for helping the visually impaired know what kind of object there is in an environment. This concept is implemented as a cane system that selects a target object based on a user's demand, recognizes the object from depth data obtained by a Microsoft Kinect sensor, and returns the recognition results via a tactile device. The proposed system is evaluated through a user study where one blindfolded subject actually uses the system to find chairs in an experimental environment. The experimental results indicate that the system is promising as means of helping the visually impaired recognize objects.

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Visual Information Assist System Using 3D SOKUIKI Sensor for Blind People, System Concept and Object Detecting Experiments

Cited by 20 publications

References 6 publications

Guide robot intelligent navigation in urban environments

Guide robot intelligent navigation in urban environments

Transportable laser range sensing system for estimation of three dimensional motion distance and map making using in-building shape feature

Kinect cane: Object recognition aids for the visually impaired

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