A Novel Mirrored Binocular Vision Sensor Based on Spherical Catadioptric Mirrors

2021 ◽  
pp. 1-1
Author(s):  
Yuanze Chen ◽  
Fuqiang Zhou ◽  
Junhua Sun ◽  
Pengfei Sun ◽  
Yang Liu
Keyword(s):  
Binocular Vision ◽  
Vision Sensor

scholarly journals Phase-Based Calibration Method for a Binocular Vision Sensor

IEEE Access ◽  
2021 ◽  
Vol 9 ◽  
pp. 44354-44362
Author(s):  
Mingwei Shao ◽  
Pan Wang ◽  
Yanjun Wang
Keyword(s):  
Binocular Vision ◽  
Calibration Method ◽  
Vision Sensor

Research of Multi-Sensor Data Fusion Based on Binocular Vision Sensor and Laser Range Sensor

2016 ◽  
Vol 693 ◽  
pp. 1397-1404 ◽  
Author(s):  
Qi Long Wang ◽  
Jian Yong Li ◽  
Hai Kuo Shen ◽  
Teng Teng Song ◽  
Yan Xuan Ma
Keyword(s):  
Binocular Vision ◽  
Measurement Accuracy ◽  
Optical Axis ◽  
Vertical Direction ◽  
Utilization Efficiency ◽  
Sensor Data ◽  
Vision Sensor ◽  
Laser Range ◽  
Range Sensor ◽  
Sensor Information

The system of binocular vision sensor was used in the air-to-air close air target positioning in the paper. Due to the limitation of model itself, the measurement accuracy along the direction of optical axis is far lower than the accuracy of vertical direction. In order to improve the measurement accuracy of the optical axis, the paper put forward to using laser range sensor to cooperate with binocular vision sensor; Then the paper proposed adopts adaptive weighted fusion algorithm of multi-sensor information fusion to improve the utilization efficiency of multi-sensor information and to make the results accurately; Finally, the parameters of the system were calibration respectively and experiment is simulated, experimental results show that the position system is feasibility and effectiveness.

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.

Three Dimensional Measurement of Shark Body Based on Monocular and Binocular Vision

2013 ◽  
Vol 647 ◽  
pp. 239-244
Author(s):  
Xin Han ◽  
Juan Wang ◽  
Lian Fei Wang
Keyword(s):  
Binocular Vision ◽  
Three Dimensional ◽  
Point Clouds ◽  
Underwater Vehicles ◽  
Large Field ◽  
Vision Sensor ◽  
Dimensional Measurement ◽  
Three Dimensional Measurement ◽  
Fringe Patterns ◽  
Structure Light

To provide precise configuration reference for the engineering bionics, high accuracy detection in large field of view on the natural biological body is a prerequisite. Targeting the streamline body of carcharhinus brachyurous, 3D (three dimensional) measurement was carried out with monocular and binocular vision inspecting system based on sinusoidal structure light. By means of moving the vision sensor driven by a stepper motor, fringe patterns with variable fringe spacing were projected to every parts of the shark body, then the point clouds of different parts of the whole shark body were obtained. Using the quaternion method to joint the edges of these point clouds together, surface reconstruction was conducted. Finally the digital model of the low resistance body of shark was achieved. It would be useful reference for the configuration design of underwater vehicles, especially microminiature biomimetic underwater vehicles.

Research of the Relationship between Measured Displacement and Pixel Displacement of Binocular Vision Sensor

2012 ◽  
Vol 220-223 ◽  
pp. 1320-1323
Author(s):  
Jie Xu ◽  
Juan Wang ◽  
An Hua Wang
Keyword(s):  
Binocular Vision ◽  
Dimensional Space ◽  
Calculation Model ◽  
Image Point ◽  
Optical Parameters ◽  
Vision Sensor ◽  
Measured Object ◽  
Measured Displacement ◽  
Ccd Image ◽  
The Relationship

The calculation model of binocular vision sensor is constructed based on the detection principle of laser triangle geometrical relationship in the circumstances of the measured object non-static when measuring the vision sensor, the relationship between the measured object displacement and the CCD image point displacement. Measured point is researched and two-dimensional space coordinates of the measured point is calculated. Analyzed the relationship between displacement and structure parameters and simulated by matlab, optimized the optical parameters, in order to complete the measurement task better.

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