Laser & Infrared, Volume. 54, Issue 2, 302(2024)

Research on pedestrian detection algorithm combining deep learning and imaging fusion

JIANG Bo-jun1, ZHONG Ming-xia1、*, and LIN Hao-yun2
Author Affiliations
  • 1Zhejiang Business College, Hangzhou 310053, China
  • 2School of Mathematical Sciences, Capital Normal University, Beijing 100089, China
  • show less
    References(3)

    [1] [1] Mueller A S, Cicchino J B, Zuby D S. What humanlike errors do autonomous vehicles need to avoid to maximize safety?[J]. Journal of Safety Research, 2020, 75: 310-318.

    [2] [2] Fagnant D J, Kockelman K. Preparing a nation for autonomous vehicles: opportunities, barriers and policy recommendations[J]. Transportation Research Part A: Policy and Practice, 2015, 77: 167-181.

    [3] [3] Dollr Piotr, Wojek Christian, Schiele Bernt, et al. Pedestrian detection: an evaluation of the state of the art[C]//IEEE Transactions on Pattern Analysis and Machine Intelligence, 2011, 34: 743-61.

    Tools

    Get Citation

    Copy Citation Text

    JIANG Bo-jun, ZHONG Ming-xia, LIN Hao-yun. Research on pedestrian detection algorithm combining deep learning and imaging fusion[J]. Laser & Infrared, 2024, 54(2): 302

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category:

    Received: Sep. 19, 2023

    Accepted: Jun. 4, 2025

    Published Online: Jun. 4, 2025

    The Author Email: ZHONG Ming-xia (517997106@qq.com)

    DOI:10.3969/j.issn.1001-5078.2024.02.021

    Topics