  Countless traffic accidents often occur because of the inattention of the
drivers. Many factors can contribute to distractions while driving, since
objects or events to physiological conditions, as drowsiness and fatigue, do
not allow the driver to stay attentive. The technological progress allowed the
development and application of many solutions to detect the attention in real
situations, promoting the interest of the scientific community in these last
years. Commonly, these solutions identify the lack of attention and alert the
driver, in order to help her/him to recover the attention, avoiding serious
accidents and preserving lives. Our work presents a Systematic Literature
Review (SLR) of the methods and criteria used to detect attention of drivers at
the wheel, focusing on those methods based on images. As results, 50 studies
were selected from the literature on drivers' attention detection, in which 22
contain solutions in the desired context. The results of SLR can be used as a
resource in the preparation of new research projects in drivers' attention
detection.
