April 5, 2024, 4:45 a.m. | Maik Wischow, Patrick Irmisch, Anko Boerner, Guillermo Gallego

cs.CV updates on arXiv.org arxiv.org

arXiv:2404.03251v1 Announce Type: new
Abstract: Autonomous machines must self-maintain proper functionality to ensure the safety of humans and themselves. This pertains particularly to its cameras as predominant sensors to perceive the environment and support actions. A fundamental camera problem addressed in this study is noise. Solutions often focus on denoising images a posteriori, that is, fighting symptoms rather than root causes. However, tackling root causes requires identifying the noise sources, considering the limitations of mobile platforms. This work investigates a …

abstract arxiv autonomous cameras cs.cv cs.ro eess.iv environment humans image machines metadata noise real-time safety sensors solutions study support the environment type

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