A Physics-Grounded Multi-Modal Sensor Fusion Framework for Pedestrian Impact Kinematic Reconstruction Under Uncertainty: Phase 1 Design and Theoretical Evaluation
- DOI
- 10.3390/s26113387
- Published
- 2026-05-27
- Container
- Sensors
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/s26113387,
title = {A Physics-Grounded Multi-Modal Sensor Fusion Framework for Pedestrian Impact Kinematic Reconstruction Under Uncertainty: Phase 1 Design and Theoretical Evaluation},
author = {Nick Barua and Masahito Hitosugi},
year = {2026},
journal = {Sensors},
doi = {10.3390/s26113387},
url = {https://doi.org/10.3390/s26113387}
}RIS
TY - JOUR TI - A Physics-Grounded Multi-Modal Sensor Fusion Framework for Pedestrian Impact Kinematic Reconstruction Under Uncertainty: Phase 1 Design and Theoretical Evaluation AU - Nick Barua AU - Masahito Hitosugi PY - 2026 JO - Sensors DO - 10.3390/s26113387 UR - https://doi.org/10.3390/s26113387 ER -
APA
Barua, N., & Hitosugi, M. (2026). A Physics-Grounded Multi-Modal Sensor Fusion Framework for Pedestrian Impact Kinematic Reconstruction Under Uncertainty: Phase 1 Design and Theoretical Evaluation. Sensors. https://doi.org/10.3390/s26113387
Source records
- crossref · retrieved 2026-09-25T21:32:21.282Z