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Green Energy and Networking. 7th EAI International Conference, GreeNets 2020, Harbin, China, June 27-28, 2020, Proceedings

Research Article

Anti-collision Device of DSTWR and SFKF Hybrid Positioning Vehicle

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  • @INPROCEEDINGS{10.1007/978-3-030-62483-5_11,
        author={AnHua Wang and HongKai Ding and DongDong Wan},
        title={Anti-collision Device of DSTWR and SFKF Hybrid Positioning Vehicle},
        proceedings={Green Energy and Networking. 7th EAI International Conference, GreeNets 2020, Harbin, China, June 27-28, 2020, Proceedings},
        proceedings_a={GREENETS},
        year={2020},
        month={11},
        keywords={Anti-collision of the vehicle Ultra-wideband Positioning Kalman filter},
        doi={10.1007/978-3-030-62483-5_11}
    }
    
  • AnHua Wang
    HongKai Ding
    DongDong Wan
    Year: 2020
    Anti-collision Device of DSTWR and SFKF Hybrid Positioning Vehicle
    GREENETS
    Springer
    DOI: 10.1007/978-3-030-62483-5_11
AnHua Wang1,*, HongKai Ding1, DongDong Wan1
  • 1: Electronic and Information Engineering Institute, Heilongjiang University of Science and Technology
*Contact email: 3036361_cn@sina.com

Abstract

In order to suppress the hidden danger brought by the blind area of construction vehicles, a vehicle collision prevention device is designed. The realization method is introduced in the paper. Combined with DSTWR and SFKF algorithm, UWB detection technology is applied to achieve reliable ranging and positioning. It is found through one-to-many ranging experiment that the maximum static absolute error is 0.093 m, the average static error is 0.37 m, and the maximum static relative error is 0.0106; the maximum dynamic absolute error is 0.15 m, the average dynamic error is 0.073 m, and the maximum dynamic relative error is 0.0174. The positioning experiment shows that the maximum errors along the direction of the three axes are 0.17 m, 0.29 m, and 0.45 m, and the average position error of the node is about 0.241 m. The experimental results show that the proposed method satisfies the actual functional requirements, and can ensure stable detection with high speed and accuracy. The large error and track discontinuity under the action of motion and vibration factors can be effectively suppressed by the method, which has application value.

Keywords
Anti-collision of the vehicle Ultra-wideband Positioning Kalman filter
Published
2020-11-03
Appears in
SpringerLink
http://dx.doi.org/10.1007/978-3-030-62483-5_11
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