Optical sensors have played a pivotal role in acquiring real world data for
critical applications. This data, when integrated with advanced machine
learning algorithms provides meaningful information thus enhancing human
vision. This paper focuses on various optical technologies for design and
development of state-of-the-art out-cabin forward vision systems and in-cabin
driver monitoring systems. The focused optical sensors include Longwave Thermal
Imaging (LWIR) cameras, Near Infrared (NIR), Neuromorphic/ event cameras,
Visible CMOS cameras and Depth cameras. Further the paper discusses different
potential applications which can be employed using the unique strengths of each
these optical modalities in real time environment.

该论文主要讨论了光学传感器在设计和开发先进驾驶员监控系统和车外前视系统中的应用，侧重于长波红外热成像、近红外、神经形态学 / 事件相机、可见光 CMOS 相机和深度相机等各种光学技术，并探讨了在实时环境中利用每种光学技术的独特优势可能实现的不同潜在应用。