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Three-dimensional reconstruction of the dribble track of soccer robot based on heterogeneous binocular vision

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Abstract

With the rapid development of science and technology, as an important branch of the computer. Binocular vision technology has also been greatly improved and improved. It has been applied to many fields of production and life, medical information, industrial manufacturing, and service industries. Heterogeneous binocular vision typically uses a camera to simulate the sensory acquisition process of humans. To process the target information, multiple viewpoints observe the same motion scene. Finally, multiple pairs of images are obtained from different viewpoints. Three-dimensional reconstruction has long been one of the important research fields of computer vision. It has great application value in robot autonomous navigation vision, self-driving vehicle, and automatic detection field and freedom degree mechanical device control. In the robot application of visual positioning technology, with the development needs, the level of intelligence of the robot is also gradually increasing. The three-dimensional reconstruction technology combined with the principle of heterogeneous binocular vision has important practical significance for completing the technique of the dribble track of soccer robots. Based on the RoboCup soccer robot competition, this paper uses the heterogeneous binocular vision technology to analyze the kinematics of the soccer robot in detail. By analyzing the basic motion characteristics of soccer robots, a three-dimensional reconstruction technology model of its dribble trajectory is established, and the reliability, practicability and rationality of the design are verified.

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Authors and Affiliations

  1. Department of P.E, Shenyang Ligong University, Shenyang, 110159, China

    Chunyu Tong

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  1. Chunyu Tong
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Correspondence to Chunyu Tong.

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Tong, C. Three-dimensional reconstruction of the dribble track of soccer robot based on heterogeneous binocular vision. J Ambient Intell Human Comput 11, 6361–6372 (2020). https://doi.org/10.1007/s12652-020-02039-2

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