Vehicles with conditional automation will be introduced to the market in the next few years. However, the effect of fatigue as one component of the driver state on the take-over performance still needs to be quanti-fied. To examine this question, a valid, real-time capable and preferably non-invasive method for assessing fatigue while driving automatically is required. For this purpose, we developed an objective driver fatigue assessment system based on the data of a commercial remote eye-tracking system. The fatigue assessment system fuses various metrics based on eyelid opening and head movement. In a validation study with 12 participants in a driving simulator, the fatigue assessment system achieved a sensitivity of 90.0 % and a specificity of 99.2 %. This approach makes a fatigue-state-dependent study design possible and can also provide a basis for advancing existing fatigue assessment systems in automated vehicles. (Author/publisher)
Abstract