Top-Down Driver Head Orientation Detection Method Based on Monocular Camera and Virtual Scene Generation-Reference-Cited by-同舟云学术

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Top-Down Driver Head Orientation Detection Method Based on Monocular Camera and Virtual Scene Generation

Published:2022 Issue: Volume: Page:349-360
ISSN:1865-0929
Container-title:Digital TV and Wireless Multimedia Communications
language:
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Author:

Shi Jiangnan,Tang Jingyu,Hu Menghan

Publisher

Springer Singapore

Link

https://link.springer.com/content/pdf/10.1007/978-981-19-2266-4_27

Reference24 articles.

1. Jin, S.N., Su, L.J.: Forecasting the car penetration rate (CPR) in China: a nonparametric approach. Appl. Econ. 39(17), 2189–2195 (2007)

2. Pierdzioch, C., Rulke, J.C., Stadtmann, G.: Forecasting US car sales and car registrations in Japan: rationality, accuracy and herding. Japan World Econ. 23, 253–258 (2011)

3. Wang, Y.-Y., Wei, H.-Y.: Road capacity and throughput for safe driving autonomous vehicles. IEEE Access 8, 6262 (2020)

4. Araluce, J., et al.: Gaze focalization system for driving applications using OpenFace 2.0 toolkit with NARMAX algorithm in accidental scenarios. Sensors 21, 1401–1409 (2021)

5. Li, X., Hong, L., Wang, J.-C., Liu, X.: Fatigue driving detection model based on multi-feature fusion and semi-supervised active learning. IET Intell. Transp. Syst. 13(9), 1401–1409 (2019)

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