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GPS-based location and path tracking in automatic driving system in a fixed route using fusion algorithm

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Abstract

To achieve automatic transportation between factories, we make an automatic driving system based on fusion method and state machine that moves the car with a fixed route. Based on the GPS algorithm, we optimize the positioning algorithm by integrating the model calculation algorithm, and optimize the path tracking algorithm by integrating the lane keeping algorithm, which solves the problem caused by the unstable GPS signal to the system and enhances the system robustness. During the design process, we improve the algorithm, and design and optimize system functions with actual test conditions as feedback.

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References

  1. Jianwei G, Yan J, Wei X (2014) Model predictive control of driverless vehicles. Beijing Institute of Technology Press, Beijing

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Authors and Affiliations

  1. Graduate School of Information, Production and Systems, Waseda University, Shinjuku City, Japan

    Yifei Dong, Shigeyuki Tateno, Harutoshi Ogai, Yichen Wang, Shuwei Zhang & Yutian Wu

Authors
  1. Yifei Dong
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  2. Shigeyuki Tateno
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  3. Harutoshi Ogai
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  4. Yichen Wang
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  5. Shuwei Zhang
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  6. Yutian Wu
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Corresponding author

Correspondence to Yifei Dong.

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This work was presented in part at the joint symposium of the 27th International Symposium on Artificial Life and Robotics, the 7th International Symposium on BioComplexity, and the 5th International Symposium on Swarm Behavior and Bio-Inspired Robotics (Online, January 25–27, 2022)

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Dong, Y., Tateno, S., Ogai, H. et al. GPS-based location and path tracking in automatic driving system in a fixed route using fusion algorithm. Artif Life Robotics 28, 217–225 (2023). https://doi.org/10.1007/s10015-022-00812-4

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  • DOI: https://doi.org/10.1007/s10015-022-00812-4

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