HICnet: A two-stage framework based on region partitioning for predicting HIC values from car point clouds.

Li S, Wu J, Shi A, Li F, Wang G, Zhou J, Xia Y, Wang L, Li J, Li K

Open source

DOI
10.1016/j.aap.2026.108634
Published
2026 Sep
Container
Accident; analysis and prevention
Publisher
Not recorded
Open access
unknown

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BibTeX

@article{allodium:10.1016/j.aap.2026.108634,
  title = {HICnet: A two-stage framework based on region partitioning for predicting HIC values from car point clouds.},
  author = {Li S and Wu J and Shi A and Li F and Wang G and Zhou J and Xia Y and Wang L and Li J and Li K},
  year = {2026},
  journal = {Accident; analysis and prevention},
  doi = {10.1016/j.aap.2026.108634},
  url = {https://doi.org/10.1016/j.aap.2026.108634}
}

RIS

TY  - JOUR
TI  - HICnet: A two-stage framework based on region partitioning for predicting HIC values from car point clouds.
AU  - Li S
AU  - Wu J
AU  - Shi A
AU  - Li F
AU  - Wang G
AU  - Zhou J
AU  - Xia Y
AU  - Wang L
AU  - Li J
AU  - Li K
PY  - 2026
JO  - Accident; analysis and prevention
DO  - 10.1016/j.aap.2026.108634
UR  - https://doi.org/10.1016/j.aap.2026.108634
ER  - 

APA

S, L., J, W., A, S., F, L., G, W., J, Z., Y, X., L, W., J, L., & K, L. (2026). HICnet: A two-stage framework based on region partitioning for predicting HIC values from car point clouds.. Accident; analysis and prevention. https://doi.org/10.1016/j.aap.2026.108634

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