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Published in 2019 at "Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery"
DOI: 10.1002/widm.1310
Abstract: Regardless of the marvels brought by the conventional frame‐based cameras, they have significant drawbacks due to their redundancy in data and temporal latency. This causes problem in applications where low‐latency transmission and high‐speed processing are…
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Keywords:
neuromorphic vision;
event based;
based vision;
vision sensors ... See more keywords
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Published in 2018 at "IEEE Circuits and Systems Magazine"
DOI: 10.1109/mcas.2018.2821772
Abstract: CMOS Image Sensors (CIS) are key for imaging technologies. These chips are conceived for capturing optical scenes focused on their surface, and for delivering electrical images, commonly in digital format. CISs may incorporate intelligence; however,…
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Keywords:
front ends;
embedding computer;
cmos vision;
vision sensors ... See more keywords
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Published in 2019 at "Frontiers in Neurorobotics"
DOI: 10.3389/fnbot.2019.00010
Abstract: Neuromorphic vision sensors are bio-inspired cameras that naturally capture the dynamics of a scene with ultra-low latency, filtering out redundant information with low power consumption. Few works are addressing the object detection with this sensor.…
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Keywords:
neuromorphic vision;
information;
vision sensors;
multi cue ... See more keywords
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Published in 2022 at "IEEE Robotics and Automation Letters"
DOI: 10.48550/arxiv.2204.06183
Abstract: In this letter, we present a dataset capturing diverse visual data formats that target varying luminance conditions. While RGB cameras provide nourishing and intuitive information, changes in lighting conditions potentially result in catastrophic failure for…
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Keywords:
vivid vision;
vision visibility;
alternative vision;
dataset ... See more keywords