A computational framework for driver's visual attention using a fully convolutional architecture
Author:
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/7987634/7995688/07995828.pdf?arnumber=7995828
Cited by 33 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
1. Context-Aware Driver Attention Estimation Using Multi-Hierarchy Saliency Fusion With Gaze Tracking;IEEE Transactions on Intelligent Transportation Systems;2024-08
2. Understanding and Modeling the Effects of Task and Context on Drivers’ Gaze Allocation;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02
3. SCOUT+: Towards Practical Task-Driven Drivers’ Gaze Prediction;2024 IEEE Intelligent Vehicles Symposium (IV);2024-06-02
4. Visual Attention Estimation Algorithm and Dynamic Neural Network Based Object Detection for Intelligent Vehicles;IEEE Sensors Journal;2024-06-01
5. Recent advancements in driver’s attention prediction;Multimedia Tools and Applications;2024-05-18
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