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CAAI Trans on Intel Tech - 2022 - Zhang - Hawk‐eye‐inspired perception algorithm of stereo vision for obtaining orchard 3D.pdf (3.21 MB)

Hawk‐eye‐inspired perception algorithm of stereo vision for obtaining orchard 3D point cloud navigation map

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journal contribution
posted on 2023-10-05, 12:39 authored by Zichao Zhang, Jian Chen, Xinyu Xu, Cunjia LiuCunjia Liu, Yu Han
The binocular stereo vision is the lowest cost sensor for obtaining 3D information. Considering the weakness of long-distance measurement and stability, the improvement of accuracy and stability of stereo vision is urgently required for application of precision agriculture. To address the challenges of stereo vision long-distance measurement and stable perception without hardware upgrade, inspired by hawk eyes, higher resolution perception and the adaptive HDR (High Dynamic Range) were introduced in this paper. Simulating the function from physiological structure of ‘deep fovea’ and ‘shallow fovea’ of hawk eye, the higher resolution reconstruction method in this paper was aimed at accuracy improving. Inspired by adjustment of pupils, the adaptive HDR method was proposed for high dynamic range optimisation and stable perception. In various light conditions, compared with default stereo vision, the accuracy of proposed algorithm was improved by 28.0% evaluated by error ratio, and the stability was improved by 26.56% by disparity accuracy. For fixed distance measurement, the maximum improvement was 78.6% by standard deviation. Based on the hawk-eye-inspired perception algorithm, the point cloud of orchard was improved both in quality and quantity. The hawk-eye-inspired perception algorithm contributed great advance in binocular 3D point cloud reconstruction in orchard navigation map.

Funding

Study on the Hydrodynamic Characteristics of Ecological Channels and the Method of Zoning Area

National Natural Science Foundation of China

Find out more...

Key Laboratory of Spatial-temporal Big Data Analysis and Application of Natural Resources in Megacities, MNR (No.KFKT-2022-05)

Open Fund of Key Laboratory of Urban Land Resources Monitoring and Simulation, Ministry of Natural Resources (No. KF-2021-06-115)

Open Project Program of State Key Laboratory of Virtual Reality Technology and Systems, Beihang University (No.VRLAB2022C10)

Synergistic Innovation Center of Modern Agricultural Equipment (No. XTCX2002)

Talent Development Program of China Agricultural University and Chinese Universities Scientific Fund (No. 2021TC105)

History

School

  • Aeronautical, Automotive, Chemical and Materials Engineering

Department

  • Aeronautical and Automotive Engineering

Published in

CAAI Transactions on Intelligence Technology

Volume

8

Issue

3

Pages

987-1001

Publisher

John Wiley & Sons Ltd.

Version

  • VoR (Version of Record)

Rights holder

© The Authors

Publisher statement

This is an Open Access article published by Wiley under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited. See https://creativecommons.org/licenses/by/4.0/

Acceptance date

2022-08-17

Publication date

2022-09-27

Copyright date

2022

eISSN

2468-2322

Language

  • en

Depositor

Dr Cunjia Liu. Deposit date: 11 October 2022

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