Object-Level Attention Prediction for Drivers in the Information-Rich Traffic Environment
Author:
Affiliation:
1. School of Mechanical Engineering, Beijing Institute of Technology, Beijing, China
Funder
National Natural Science Foundation of China
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/41/10416960/10195263.pdf?arnumber=10195263
Reference34 articles.
1. A Study on Predicting Hazard Factors for Safe Driving
2. Joint Gaze Correction and Face Beautification for Conference Video Using Dual Sparsity Prior
3. Where Does the Driver Look? Top-Down-Based Saliency Detection in a Traffic Driving Environment
4. Learning to Boost Bottom-Up Fixation Prediction in Driving Environments via Random Forest
5. DR(eye)VE: A Dataset for Attention-Based Tasks with Applications to Autonomous and Assisted Driving
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