Decisive Data using Multi-Modality Optical Sensors for Advanced Vehicular Systems

TL;DR

This paper reviews various optical sensor technologies like thermal, infrared, neuromorphic, visible, and depth cameras, highlighting their applications in advanced vehicular vision and driver monitoring systems.

Contribution

It provides a comprehensive overview of multiple optical modalities and their integration into state-of-the-art vehicular systems for enhanced safety and functionality.

Findings

Different optical sensors have unique strengths for real-time vehicle applications.

Integration of these sensors improves accuracy in driver monitoring and vehicle environment perception.

The paper discusses potential applications of each optical modality in real-world scenarios.

Abstract

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.