Normalized Facial Features-Based DNN for a Driver’s Gaze Zone Classifier Using a Single Camera Robust to Various Highly Challenging Driving Scenarios-Reference-Cited by-同舟云学术

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Normalized Facial Features-Based DNN for a Driver’s Gaze Zone Classifier Using a Single Camera Robust to Various Highly Challenging Driving Scenarios

Published:2023-06-04 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE Intelligent Vehicles Symposium (IV)
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Author:

Lollett Catherine¹,Kamezaki Mitsuhiro²,Sugano Shigeki³

Affiliation:

1. Graduate School of Creative Science and Engineering, Waseda University,Department of Modern Mechanical Engineering,Shinjuku-ku,Tokyo,Japan,162-0044

2. Research Institute for Science and Engineering (RISE), Waseda University,Shinjuku-ku,Tokyo,Japan,162-0044

3. Waseda University,Department of Modern Mechanical Engineering,Shinjuku-ku,Tokyo,Japan,169-8555

Funder

Waseda University

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10186382/10186383/10186697.pdf?arnumber=10186697

Reference39 articles.

1. Joint 3D Face Reconstruction and Dense Alignment with Position Map Regression Network

2. ETH-XGaze: A Large Scale Dataset for Gaze Estimation Under Extreme Head Pose and Gaze Variation

3. Robust Face Landmark Estimation under Occlusion

4. S^3FD: Single Shot Scale-Invariant Face Detector

5. Driver Gaze Region Estimation Based on Computer Vision

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