In this survey, the authors review the state of the art technologies for driver inattention monitoring, which can be classified into two main categories: distraction and fatigue. Driver inattention is a major factor in most traffic accidents. Research and development has been actively carried out for decades with the goal of precisely determining the drivers’ state of mind. In this survey, the authors summarize these approaches by dividing them into 5 different types of measures: A) Subjective Report Measures, B) Driver Biological Measures, C) Driver Physical Measures, D) Driving Performance Measures, and E) Hybrid Measures. Among these approaches, Subjective Report Measures and Driver Biological Measures are not suitable under real driving conditions, but could serve as some rough ground truth indicators. The Hybrid Measures are believed to give more reliable solutions compared with single Driver Physical Measures or Driving Performance Measures, because the Hybrid Measures minimize the number of false alarms and maintain a high recognition rate, which promote acceptance of the system. Some non-linear modelling techniques commonly used in the literature are also discussed. (Author/publisher)
Samenvatting