Classification of Manual Versus Autonomous Driving based on Machine Learning of Eye Movement Patterns

Author:

Brishtel Iuliia1,Kraus Stephan2,Schmidt Thomas3,Rambach Jason Raphael2,Vozniak Igor4,Stricker Didier1

Affiliation:

1. DFKI & TU Kaiserslautern,Augmented Vision & Computer Science,Kaiserslautern,Germany

2. DFKI,Augmented Vision,Kaiserslautern,Germany

3. TU Kaiserslautern,Experimental Psychology,Kaiserslautern,Germany

4. DFKI,Agents & Simulated Reality,Saarbrücken,Germany

Funder

Ministry of Education

Publisher

IEEE

Reference44 articles.

1. Using machine learning to detect events in eye-tracking data;zemblys;Behavior Research Methods,2017

2. On over-fitting in model selection and subsequent selection bias in performance evaluation;cawley;Journal of Machine Learning Research,2010

3. Spatial Knowledge Acquisition in the Process of Navigation: A Review

4. The Effect of Vehicle Navigation Systems on the Formation of Cognitive Maps

5. Explore User Behaviour in Semi-autonomous Driving

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3. Driving Activity Recognition Using UWB Radar and Deep Neural Networks;Sensors;2023-01-10

4. Context-empowered Visual Attention Prediction in Pedestrian Scenarios;2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2023-01

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