Event Cameras in Automotive Sensing: A Review
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- t...
| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
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IEEE
2024-01-01
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| Series: | IEEE Access |
| Subjects: | |
| Online Access: | https://ieeexplore.ieee.org/document/10494342/ |
| _version_ | 1797206128406298624 |
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| author | Waseem Shariff Mehdi Sefidgar Dilmaghani Paul Kielty Mohamed Moustafa Joe Lemley Peter Corcoran |
| author_facet | Waseem Shariff Mehdi Sefidgar Dilmaghani Paul Kielty Mohamed Moustafa Joe Lemley Peter Corcoran |
| author_sort | Waseem Shariff |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-04-24T09:02:05Z |
| format | Article |
| id | doaj.art-a8faf3ec0a594ef799b28d2d4518af27 |
| institution | Directory Open Access Journal |
| issn | 2169-3536 |
| language | English |
| last_indexed | 2024-04-24T09:02:05Z |
| publishDate | 2024-01-01 |
| publisher | IEEE |
| record_format | Article |
| series | IEEE Access |
| spelling | doaj.art-a8faf3ec0a594ef799b28d2d4518af272024-04-15T23:00:14ZengIEEEIEEE Access2169-35362024-01-0112512755130610.1109/ACCESS.2024.338603210494342Event Cameras in Automotive Sensing: A ReviewWaseem Shariff0https://orcid.org/0000-0001-7298-9389Mehdi Sefidgar Dilmaghani1Paul Kielty2https://orcid.org/0000-0002-6259-1163Mohamed Moustafa3https://orcid.org/0000-0002-6251-7115Joe Lemley4Peter Corcoran5https://orcid.org/0000-0003-1670-4793Department of Electronic and Electrical Engineering, C3I Imaging Laboratory, University of Galway, Galway, IrelandDepartment of Electronic and Electrical Engineering, C3I Imaging Laboratory, University of Galway, Galway, IrelandDepartment of Electronic and Electrical Engineering, C3I Imaging Laboratory, University of Galway, Galway, IrelandDepartment of Electronic and Electrical Engineering, C3I Imaging Laboratory, University of Galway, Galway, IrelandSensing Team, FotoNation, Galway, IrelandDepartment of Electronic and Electrical Engineering, C3I Imaging Laboratory, University of Galway, Galway, IrelandEvent 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.https://ieeexplore.ieee.org/document/10494342/Neuromorphic event cameraevent based visiondriver monitoring systemout-of-cabin monitoringin-cabin monitoring |
| spellingShingle | Waseem Shariff Mehdi Sefidgar Dilmaghani Paul Kielty Mohamed Moustafa Joe Lemley Peter Corcoran Event Cameras in Automotive Sensing: A Review IEEE Access Neuromorphic event camera event based vision driver monitoring system out-of-cabin monitoring in-cabin monitoring |
| title | Event Cameras in Automotive Sensing: A Review |
| title_full | Event Cameras in Automotive Sensing: A Review |
| title_fullStr | Event Cameras in Automotive Sensing: A Review |
| title_full_unstemmed | Event Cameras in Automotive Sensing: A Review |
| title_short | Event Cameras in Automotive Sensing: A Review |
| title_sort | event cameras in automotive sensing a review |
| topic | Neuromorphic event camera event based vision driver monitoring system out-of-cabin monitoring in-cabin monitoring |
| url | https://ieeexplore.ieee.org/document/10494342/ |
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