Effect of pedestrian physique differences on head injury prediction in car-to-pedestrian accidents using deep learning-Reference-Cited by-同舟云学术

Effect of pedestrian physique differences on head injury prediction in car-to-pedestrian accidents using deep learning

Published:2021-10-19 Issue:sup1 Volume:22 Page:S82-S86
ISSN:1538-9588
Container-title:Traffic Injury Prevention
language:en
Short-container-title:Traffic Injury Prevention

Author:

Kunitomi Shouhei¹,Takayama Shinichi¹

Affiliation:

1. Japan Automobile Research Institute, Tsukuba, Ibaraki, Japan

Funder

JSPS KAKENHI

Publisher

Informa UK Limited

Subject

Public Health, Environmental and Occupational Health,Safety Research

Link

https://www.tandfonline.com/doi/pdf/10.1080/15389588.2021.1981886

Reference25 articles.

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2. Euro NCAP. 2019. Technical Bulletin: Pedestrian Human Model Certification, TB 024, Version 2.0. [accessed 2021 Feb 8]. https://cdn.euroncap.com/media/56949/tb-024-pedestrian-human-model-certification-v20.pdf.

3. Fildes B, Gabler HC, Otte D, Linder A, Sparke L. 2004. Pedestrian impact priorities using real-world crash data and harm. International Research Council on the Biomechanics of Injury, September; Graz.

4. Age and Gender Predictions using Artificial Intelligence Algorithm

5. Ioffe S, Szegedy C. 2015. Batch normalization: Accelerating deep network training by reducing internal covariate shift. Machine learning. PMLR: 448–456.

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