HICnet: A two-stage framework based on region partitioning for predicting HIC values from car point clouds.
- 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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Cite this work
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
Source records
- pubmed · retrieved 2026-09-26T08:14:14.966Z