Laser & Optoelectronics Progress, Volume. 62, Issue 12, 1215003(2025)

Target Localization by Fusing Ultra-Wideband Ranging and Laser Scanning

Jian Zuo1,2, Ran Liu1,2、*, Lin Guo1,2, Heng Ning1,2, Feng Xu1,2, and Yufeng Xiao1,2
Author Affiliations
  • 1School of Information and Control Engineering, Southwest University of Science and Technology, Mianyang 621000, Sichuan , China
  • 2Robot Technology Used for Special Environment Key Laboratory of Sichuan Province, Mianyang 621000, Sichuan , China
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    Figures & Tables(13)
    Framework of proposed system
    Cluster example of DBSCAN. (a) Raw laser data; (b) clustering results
    Experimental platform
    Experimental scenes. (a) Experiment 1; (b) experiment 2
    Localization trajectories of different localization methods in experiment 1. (a) UWB ranging; (b) sequence matching; (c) UWB ranging + sequence matching
    Localization performances under different sliding window sizes and nearest neighbor association thresholds in experiment 1. (a) Localization accuracies; (b) consumed time
    Localization trajectories of different localization methods in experiment 2. (a) UWB ranging; (b) sequence matching; (c) UWB ranging+sequence matching
    Error distributions of different algorithms
    • Table 1. Localization results of different localization methods in experiment 1

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      Table 1. Localization results of different localization methods in experiment 1

      Localization methodLocalization error /mConsumed time /ms
      UWB ranging3.870.047
      Sequence matching0.190.092
      UWB ranging+sequence matching0.160.139
    • Table 2. Localization accuracies under different UWB ranging noises and Gaussian prediction noises in experiment 1

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      Table 2. Localization accuracies under different UWB ranging noises and Gaussian prediction noises in experiment 1

      UWB ranging noise σrGaussian prediction noise σdLocalization errorUWB ranging noise σrGaussian prediction noise σdLocalization error
      0.10.050.260.40.050.34
      0.100.180.100.17
      0.200.190.200.18
      0.400.170.400.21
      0.20.050.300.80.050.36
      0.100.160.100.19
      0.200.200.200.21
      0.400.180.400.23
    • Table 3. Localization performances under different particle numbers in experiment 1

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      Table 3. Localization performances under different particle numbers in experiment 1

      Particle number NLocalization error /mConsumed time /ms
      100.220.014
      500.200.036
      1000.170.059
      5000.160.239
    • Table 4. Localization performances of different localization methods in experiment 2

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      Table 4. Localization performances of different localization methods in experiment 2

      Localization methodLocalization error /mConsumed time /ms
      UWB ranging2.850.036
      Sequence matching0.260.081
      UWB ranging+sequence matching0.210.117
    • Table 5. Localization performances of different algorithms

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      Table 5. Localization performances of different algorithms

      AlgorithmLocalization error /mConsumed time /msLocalization in NFOV
      Ref. [80.382.8
      Ref. [152.359.1×
      Ref. [210.30167.0
      Proposed0.219.5
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    Jian Zuo, Ran Liu, Lin Guo, Heng Ning, Feng Xu, Yufeng Xiao. Target Localization by Fusing Ultra-Wideband Ranging and Laser Scanning[J]. Laser & Optoelectronics Progress, 2025, 62(12): 1215003

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    Paper Information

    Category: Machine Vision

    Received: Oct. 28, 2024

    Accepted: Dec. 12, 2024

    Published Online: Jun. 9, 2025

    The Author Email: Ran Liu (ran.liu.86@hotmail.com)

    DOI:10.3788/LOP242175

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