Analysis of the Impact of Lens Blur on Safety-Critical Automotive Object Detection

Analysis of the Impact of Lens Blur on Safety-Critical Automotive Object Detection

Camera-based object detection is widely used in safety-critical applications such as advanced driver assistance systems (ADAS) and autonomous vehicle research. Road infrastructure has been designed for human vision, so computer vision, with RGB cameras, is a vital source of semantic information from...

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Detalles Bibliográficos
Autores principales: Dara Molloy, Patrick Muller, Brian Deegan, Darragh Mullins, Jonathan Horgan, Enda Ward, Edward Jones, Alexander Braun, Martin Glavin
Formato: Artículo
Lenguaje:English
Publicado: IEEE 2024-01-01
Colección:IEEE Access
Materias:
Object detection
lens blur
ADAS
autonomous vehicles
intelligent transportation system
Acceso en línea:https://ieeexplore.ieee.org/document/10378690/

Internet

https://ieeexplore.ieee.org/document/10378690/

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