Combining point and distributed strain sensor for complementary data-fusion: A multi-fidelity approach

•We propose a complementary data-fusion (DF) method for measuring strains.•Point sensors measure accurate strains at discrete measurement positions.•Distributed sensor measures continuously distributed strains with less accuracy.•A multi-fidelity DF framework is introduced using input-connected GP mapping.•The results show that it has potential to estimate accurate strain distribution.