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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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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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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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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Event-Based Robotic Grasping Detection With Neuromorphic Vision Sensor and Event-Grasping Dataset
Frontiers in Neurorobotics, 2020 Robotic grasping plays an important role in the field of robotics. The current state-of-the-art robotic grasping detection systems are usually built on the conventional vision, such as the RGB-D camera. Compared to traditional frame-based computer vision,
Bin Li +5 more
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Event-Based Machine Vision for Edge AI Computing [PDF]
SensorsEvent-based sensors provide sparse, motion-centric measurements that can reduce data bandwidth and enable always-on perception on resource-constrained edge devices.
Paul K. J. Park +3 more
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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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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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Event-Based Vision Sensor Lifetime Degradation in Low Earth Orbit [PDF]
SensorsWe present the first study into the long-term effects of radiation on an Event-based Vision Sensor (EVS) using real-world data from orbit. Falcon Neuro is an experimental, first-of-its-kind payload attached to the exterior of the International Space ...
Zachary Wilcox +7 more
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Low-Latency Line Tracking Using Event-Based Dynamic Vision Sensors
Frontiers in Neurorobotics, 2018 In order to safely navigate and orient in their local surroundings autonomous systems need to rapidly extract and persistently track visual features from the environment.
Lukas Everding, Jörg Conradt
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