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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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CSTR: A Compact Spatio-Temporal Representation for Event-Based Vision
IEEE Access, 2023 Event-based vision is a novel perception modality that offers several advantages, such as high dynamic range and robustness to motion blur. In order to process events in batches and utilize modern computer vision deep-learning architectures, an ...
Zaid A. El Shair +2 more
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Data-Driven Technology in Event-Based Vision [PDF]
Complexity, 2021 Event cameras which transmit per-pixel intensity changes have emerged as a promising candidate in applications such as consumer electronics, industrial automation, and autonomous vehicles, owing to their efficiency and robustness.
Ruolin Sun +4 more
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Event-Based Vision: A Survey [PDF]
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2022 Event cameras are bio-inspired sensors that differ from conventional frame cameras: Instead of capturing images at a fixed rate, they asynchronously measure per-pixel brightness changes, and output a stream of events that encode the time, location and sign of the brightness changes.
Guillermo Gallego +2 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 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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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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An Artificial Neural SLAM Framework for Event-Based Vision
IEEE Access, 2023 The SLAM problem for autonomous robots can be greatly improved by using event-based cameras. Compared to others, event-based cameras consume very low power while providing great temporal resolution and dynamic range.
Aykut G. Gelen, Ayten Atasoy
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IEEE Access, 2019 Dynamic Vision Sensor (DVS) pixels produce an asynchronous variable-rate address-event output that represents brightness changes at the pixel. Since these sensors produce frame-free output, they are ideal for real-time dynamic vision applications with ...
Alejandro Linares-Barranco +6 more
doaj +3 more sources