In case of driver-driven vehicles, the Adaptive Driver Assistance Systems (ADAS) typically focus on providing different driving assistance to the drivers, thereby reducing the load of the drivers. An important aspect that needs to be considered in this design is the real-time assessment of the state of the driver at the time of driving. This is extremely critical for safe driving environment. The common factors for driver’s driveability include measuring driver’s fatigue and distraction level, while driving in different vehicle and traffic environment. In this paper, the state-of-the-art techniques on driver’s driveability is explored through Face and Eye-tracking; while also giving equal importance to the vehicular traffic and the road environment. This paper surveys the advantages and disadvantages of the existing eye and face tracking mechanisms and their integration with the driving performance measures (driveability). Further, a beyond state-of-the-art proposal for head-pose estimation and eye-tracking patterns under controlled environment is presented. The paper throws pen many observations and also opens-up several challenges to further explore in this domain. (Author/publisher)
Abstract