论文标题
密集的残留网络，用于印度道路上的凝视地图
Dense Residual Networks for Gaze Mapping on Indian Roads
论文作者
论文摘要
在最近，对强大的计算资源的更大可访问性使深度学习和计算机愿景领域的进步逐渐增长。因此，这使自动驾驶和导航系统的领域有很大的进步。当前的大多数研究工作都集中在欧洲或美国道路上的驾驶场景上。我们的论文特别注意印度驾驶环境。为此，我们提出了一种新颖的建筑，Dr Gaze，该建筑用于将驾驶员的目光映射到道路上。我们将结果与以前的工作和DGAZE数据集上的最新结果进行了比较。我们的代码将在接受我们的论文后公开提供。
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.
