Event Cameras in Automotive Sensing: A Review

Research output: Contribution to a Journal (Peer & Non Peer)Articlepeer-review

49 Citations (Scopus)

Abstract

Event cameras (EC) represent a paradigm shift and are emerging as valuable tools in the automotive industry, particularly for in-cabin and out-of-cabin monitoring. These cameras capture pixel intensity changes as 'events' with ultra-low latency, making them suitable for real- time applications. In the context of in-cabin monitoring, EC offer solution for driver and passenger tracking, enhancing safety and comfort. For out-of-cabin monitoring, they excel in tracking objects and detecting potential hazards on the road. This article explores the applications, benefits, and challenges of event cameras in these two critical domains within the automotive industry. This review also highlights relevant datasets and methodologies, enabling researchers to make informed decisions tailored to their specific vehicular-technology and place their work in the broader context of EC sensing. Through an exploration of the hardware, the complexities of data processing, and customized algorithms for both in-cabin and out-of-cabin surveillance, this paper outlines a framework encompassing methodologies, tools, and datasets critical for the implementation of event camera sensing in automotive systems.

Original languageEnglish
Pages (from-to)51275-51306
Number of pages32
JournalIEEE Access
Volume12
DOIs
Publication statusPublished - 2024

Keywords

  • Neuromorphic event camera
  • driver monitoring system
  • event based vision
  • in-cabin monitoring
  • out-of-cabin monitoring

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