Analysis of Driver Visual Characteristics Based on FaceLAB

Abstract:

Driver visual characteristics are of great importance for studying driver behavior and traffic safety. To investigate the difference of visual characteristics between skilled and fresh drivers, FaceLAB was used to collect visual data. Four drivers including male and female, skilled and fresh one were selected as the subjects. A suburbs road was chosen as the test road section and each driver drove several times on it. Based on the FaceLAB working mechanism and human eye diopter, correlation between head rotation and eye fixation point were derived and some important conclusions were drawn. For skilled drivers, they are relax at capturing traffic environment information and could obtain much more critical information in a rather large range while keeps the head constant. However, for the fresh drivers, they are much more carefully at getting visual information and the information capture process takes up much more time. Therefore, they could only get little information while keeps the head constant.

• Periodical: Applied Mechanics and Materials (Volume 526)
• Pages: 283-287
• DOI: https://doi.org/10.4028/www.scientific.net/AMM.526.283
• Online since: February 2014
• Authors: Xue Lian Zheng, Xian Sheng Li, Yuan Yuan Ren*, Zhu Qing Cheng, Qi Chao Zhao
• Keywords: Driver Visual Characteristics, FaceLAB, Fixation Point, Fresh Driver, Human-Machine Interaction, Skilled

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