Wide angle vision sensor with fovea-navigation of mobile robot based on cooperation between central vision and peripheral vision

2002 ◽  
Author(s):  
S. Shimizu ◽  
T. Kato ◽  
Y. Ocmula ◽  
R. Suematu
Keyword(s):  
Mobile Robot ◽  
Peripheral Vision ◽  
Wide Angle ◽  
Vision Sensor ◽  
Central Vision

Multi-Functional Application of Wide-Angle Foveated Vision Sensor in Mobile Robot Navigation

2002 ◽  
Vol 14 (4) ◽  
pp. 382-389 ◽  
Author(s):  
Sohta Shimizu ◽  
Keyword(s):  
Mobile Robot ◽  
Peripheral Vision ◽  
Robot Navigation ◽  
Mobile Robot Navigation ◽  
Wide Angle ◽  
Vision Sensor ◽  
Central Vision ◽  
Optical Lens ◽  
Foveated Vision ◽  
3D Information

This paper presents a concrete multi-functional application of Wide-Angle Foveated Vision Sensor (WAFVS) in which a special optical lens, designed by mimicking the human eye, plays a major role. The author has conducted experiments of obstacle avoidance in mobile robot navigation. 3D information of obstacles and locational information of mobile robot, which are characterized by the lens property, are acquired from central vision with high accuracy and peripheral vision with fewer pixels, respectively. Cooperation between them is executed by flexible parallel processing to improve navigation quality.

Autonomous Mobile Robot Navigation based on Wide Angle Vision Sensor with Fovea

2001 ◽  
pp. 345-350
Author(s):  
Sohta Shimizu ◽  
Yoshikazu Suematsu ◽  
Tomoyuki Matsuba ◽  
Shunsuke Ichiki ◽  
Keiko Sumida ◽  
...  
Keyword(s):  
Mobile Robot ◽  
Robot Navigation ◽  
Mobile Robot Navigation ◽  
Wide Angle ◽  
Autonomous Mobile Robot ◽  
Vision Sensor

Binocular Vision Sensor (Kinect)-Based Pedestrian Following Mobile Robot

2014 ◽  
Vol 670-671 ◽  
pp. 1326-1329 ◽  
Author(s):  
Huang Zhang ◽  
Rui Jun Yan ◽  
Wen Shen Zhou ◽  
Long Sheng
Keyword(s):  
Mobile Robot ◽  
Binocular Vision ◽  
Three Dimensional ◽  
Experimental Result ◽  
Vision Sensor ◽  
Human Skeleton ◽  
Depth Cameras ◽  
Left Middle

This paper present a pedestrian following mobile robot with binocular vision sensor. Because Kinect is one of the most inexpensive devices of depth-cameras, it is used in our application. Human skeleton is extracted by using Kinect, and the location of human is checked by projecting the three-dimensional (3D) pose of skeleton onto 2D screen. This 2D screen is separated into three parts, left, middle and right. Mobile robot rotates and translates according to the corresponding location of pedestrian. To make the robot move forward and backward, the distance between spine point and mobile robot is calculated. Finally, a real experimental result is used to validate our proposed method.

Second-Order Reversed Phi

2017 ◽  
Author(s):  
Zhong-Lin Lu ◽  
George Sperling
Keyword(s):  
Peripheral Vision ◽  
Forward Direction ◽  
Second Order ◽  
Central Vision ◽  
Third Order ◽  
Texture Contrast ◽  
Direction Opposite ◽  
Reversed Motion

A second-order reversed-phi stimulus is composed of moving features (areas filled with texture) whose overall amount of texture-contrast is reversed between successive frames. In peripheral vision, the stimulus is perceived as moving in the reversed direction (opposite to the feature displacement). In central vision, it is perceived in the forward direction at low temporal frequencies but in the reversed direction at high temporal frequencies. Moving the observer away from the displays has the same effect as changing from central to periphery vision: reversed motion becomes more dominant. The illusion demonstrates the different properties of the second- and third-order motion systems.

scholarly journals Influence of peripheral vision on object categorization in central vision

2019 ◽  
Vol 19 (14) ◽  
pp. 7 ◽  
Author(s):  
Alexia Roux-Sibilon ◽  
Audrey Trouilloud ◽  
Louise Kauffmann ◽  
Nathalie Guyader ◽  
Martial Mermillod ◽  
...  
Keyword(s):  
Peripheral Vision ◽  
Object Categorization ◽  
Central Vision

A Wide Angle Vision Sensor with Fovea

1995 ◽  
Vol 31 (10) ◽  
pp. 1556-1563 ◽  
Author(s):  
Yoshikazu SUEMATSU ◽  
Hironao YAMADA
Keyword(s):  
Wide Angle ◽  
Vision Sensor
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