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detection are introduced. Based on the discussion of the three technical difficulties of bridge crack
multimodal data feature extraction, multisource heterogeneous data fusion representation, and intelligent
crack detection model construction, the latest progress in bridge crack detection research is summarized in
detail, and their major advantages and drawbacks in this field are highlighted. The main current challenges
and potential future research directions are also discussed.

DECLARATIONS
Authors’ contributions
Made substantial contributions to the research and investigation process, reviewed and summarized the
literature, wrote and edited the original draft: Wang D
Performed oversight and leadership responsibility for the research activity planning and execution, as well
as performed critical review, commentary and revision: Yang SX

Availability of data and materials
Not applicable.

Financial support and sponsorship
This work was supported by the National Natural Science Foundation of China (Grant No. 62103068; Grant
No. 51978111), Science and Technology Research Project of Chongqing Education Commission (Contract
No. KJQN202100745).

Conflicts of interest
All authors declared that there are no conflicts of interest.

Ethical approval and consent to participate
Not applicable.

Consent for publication
Not applicable.

Copyright
© The Author(s) 2022.

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