  In the recent past, greater accessibility to powerful computational resources
has enabled progress in the field of Deep Learning and Computer Vision to grow
by leaps and bounds. This in consequence has lent progress to the domain of
Autonomous Driving and Navigation Systems. Most of the present research work
has been focused on driving scenarios in the European or American roads. Our
paper draws special attention to the Indian driving context. To this effect, we
propose a novel architecture, DR-Gaze, which is used to map the driver's gaze
onto the road. We compare our results with previous works and state-of-the-art
results on the DGAZE dataset. Our code will be made publicly available upon
acceptance of our paper.
