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Event-Based Vision at the Edge: A Review [PDF]
Brain SciencesSpiking Neural Networks (SNNs) executed on neuromorphic hardware promise energyefficient, low-latency inference well-suited to edge deployment in size, weight, and powerconstrained environments such as autonomous vehicles, wearable devices, and unmanned ...
Michael Middleton +9 more
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Temporal coding enables hyperacuity in event-based vision [PDF]
Nature CommunicationsAlthough the eye may appear static during fixation, it is in constant motion–transforming visual input into rich spatio-temporal streams of neuronal activity.
Eldad Assa +5 more
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Extreme Early Image Recognition Using Event-Based Vision [PDF]
Sensors, 2023 While deep learning algorithms have advanced to a great extent, they are all designed for frame-based imagers that capture images at a high frame rate, which leads to a high storage requirement, heavy computations, and very high power consumption. Unlike
Abubakar Abubakar +3 more
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An Extended Modular Processing Pipeline for Event-Based Vision in Automatic Visual Inspection [PDF]
Sensors, 2021 Dynamic Vision Sensors differ from conventional cameras in that only intensity changes of individual pixels are perceived and transmitted as an asynchronous stream instead of an entire frame.
Moritz Beck +6 more
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Exploiting Lightweight Statistical Learning for Event-Based Vision Processing [PDF]
IEEE Access, 2018 This paper presents a lightweight statistical learning framework potentially suitable for low-cost event-based vision systems, where visual information is captured by a dynamic vision sensor (DVS) and represented as an asynchronous stream of pixel ...
Cong Shi, Jiajun Li, Ying Wang, Gang Luo
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Thin‐film event‐based vision sensors for enhanced multispectral perception beyond human vision
InfoMatDynamic detection is crucial for intelligent vision systems, enabling applications like autonomous vehicles and advanced surveillance. Event‐based sensors, which convert illumination variations into sparse event spikes, are highly effective for dynamic ...
Kexin Li +10 more
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Hybrid Event–Frame Sensing for Human-Perceptual Imaging and Machine Vision [PDF]
SensorsFrame-based RGB image sensors and event-based vision sensors provide complementary sensing capabilities for human-perceptual imaging and machine vision.
Paul K. J. Park, Junseok Kim, Juhyun Ko
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An Application-Driven Survey on Event-Based Neuromorphic Computer Vision
InformationTraditional frame-based cameras, despite their effectiveness and usage in computer vision, exhibit limitations such as high latency, low dynamic range, high power consumption, and motion blur.
Dario Cazzato, Flavio Bono
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Applied Computer Systems, 2021 In this paper, we describe our team’s data processing practice for an event-based camera dataset. In addition to the event-based camera data, the Agri-EBV dataset contains data from LIDAR, RGB, depth cameras, temperature, moisture, and atmospheric ...
Galauskis Maris, Ardavs Arturs
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Neuromorphic Eye-in-Hand Visual Servoing
IEEE Access, 2021 Robotic vision plays a major role in factory automation to service robot applications. However, the traditional use of frame-based cameras sets a limitation on continuous visual feedback due to their low sampling rate, poor performance in low light ...
Rajkumar Muthusamy +6 more
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