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Image Mosaic Intelligent Vehicle Around View Monitoring System Based on Ring Fusion Method

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Advances in Computer Communication and Computational Sciences

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 760))

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Abstract

In order to solve the problem that the edge correction effect of fish-eye image is poor, we proposed a radial de-distortion method. The mapping relationship between the distortion point and the aberration point in the image coordinate system is established by the division model based on the radial distortion. We also setup ideal pattern to extract the target position of correction. Aiming at the problem of low degree of automation and low accuracy in the process of mosaic, the integrated corner detection method is used to automatically extract the coordinate position of the corner points in the calibration pattern. Aiming at the problem that the brightness of each region is inconsistent and the transition effect is not good, the ring fusion method is designed to fuse the image. The experimental results show that the proposed algorithm has the average pixel error of 1.792, the accuracy and efficiency of corner extraction is 100%, which effectively improve the automation degree of the algorithm.

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Acknowledgements

This work was supported by Junior Fellowships for Advanced Innovation Think-tank Program of China Association for Science and Technology under Grant No. DXB-ZKQN-2017-035, Project funded by China Postdoctoral Science Foundation under Grant No. 2017M620765, the National Key Research and Development Program of China under Grant No. 2016YFB0100903, Beijing Municipal Science and Technology Commission special major under Grant No. D171100005017002 and No. D171100005117002, and National Natural Science Foundation of China under Grant No. U1664263.

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Authors and Affiliations

  1. State Key Laboratory of Advanced Design and Manufacturing for Vehicle Body, Hunan University, Changsha, 410000, China

    Yinglin Zhang

  2. Information Technology Center, Tsinghua University, Beijing, 100083, China

    Yinglin Zhang & Xinyu Zhang

  3. State Key Laboratory of Automotive Safety and Energy, Tsinghua University, Beijing, 100083, China

    Hongbo Gao

  4. Institute of Electronic Engineering of China, Beijing, 100039, China

    Yuchao Liu

Authors
  1. Yinglin Zhang
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  2. Xinyu Zhang
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  3. Hongbo Gao
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  4. Yuchao Liu
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Corresponding author

Correspondence to Hongbo Gao .

Editor information

Editors and Affiliations

  1. Department of Mathematics & Computer Science, University of Missouri, St. Louis, Missouri, USA

    Sanjiv K. Bhatia

  2. Computer Science Engineering Department, ABES Engineering College, Ghaziabad, India

    Shailesh Tiwari

  3. Department of Computer Science & Engineering, Motilal Nehru National Institute of Technology, Allahabad, Uttar Pradesh, India

    Krishn K. Mishra

  4. Department of Computer Science & Engineering, ABES Engineering College, Ghaziabad, India

    Munesh C. Trivedi

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Zhang, Y., Zhang, X., Gao, H., Liu, Y. (2019). Image Mosaic Intelligent Vehicle Around View Monitoring System Based on Ring Fusion Method. In: Bhatia, S., Tiwari, S., Mishra, K., Trivedi, M. (eds) Advances in Computer Communication and Computational Sciences. Advances in Intelligent Systems and Computing, vol 760. Springer, Singapore. https://doi.org/10.1007/978-981-13-0344-9_35

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