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Electronically Foveated Dynamic Vision Sensor
2022 IEEE International Conference on Omni-layer Intelligent Systems (COINS), 2022Teresa Serrano-Gotarredona +2 more
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Smart Features for Dynamic Vision Sensors
2020 IEEE/ION Position, Location and Navigation Symposium (PLANS), 2020This paper presents a semi-supervised procedure for training a fully convolutional neural network for interest point detection and description. Contrary to previously trained networks utilized for the same purpose, our network was tailored to work with event-based imagery from a downward facing camera aboard a fixed-wing unmanned aerial vehicle.
Zachary P. Friedel, Robert C. Leishman
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Spike Coding for Dynamic Vision Sensors
2018 Data Compression Conference, 2018As an emerging kind of retinomorphic camera, the dynamic vision sensors (DVS) have shown great advantages in wide dynamic range and high temporal resolution in various applications such as autonomous driving and high-speed motion photography. However, how to compress the output spike data of DVS still remains a big challenge. To address this challenge,
Zhichao Bi +3 more
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Dynamic vision sensor datasets in the maritime domain
Artificial Intelligence and Machine Learning in Defense Applications III, 2021Event cameras utilize novel imaging sensors patterned after visual pathways in the brain that are responsive to low contrast, transient events. Specifically, the pixels of dynamic vision sensors (DVS) react independently and asynchronously to changes in light intensity, creating a stream of time-stamped events encoding the pixels’ (x, y) location in ...
Jacob Rodriguez +4 more
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Color Temporal Contrast Sensitivity in Dynamic Vision Sensors
2017 IEEE International Symposium on Circuits and Systems (ISCAS), 2017This paper introduces the first simulations and measurements of event data obtained from the first Dynamic and Active Vision Sensors (DAVIS) with RGBW color filters. The absolute quantum efficiency spectral responses of the RGBW photodiodes were measured, the behavior of the color-sensitive DVS pixels were simulated and measured, and reconstruction ...
Tobi Delbrück +2 more
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Cooperative and asynchronous stereo vision for dynamic vision sensors
Measurement Science and Technology, 2014Dynamic vision sensors (DVSs) encode visual input as a stream of events generated upon relative light intensity changes in the scene. These sensors have the advantage of allowing simultaneously high temporal resolution (better than 10 µs) and wide dynamic range (>120 dB) at sparse data representation, which is not possible with clocked vision sensors ...
E Piatkowska, A N Belbachir, M Gelautz
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Polarimetric dynamic vision sensor p(DVS) principles
IEEE Instrumentation & Measurement Magazine, 2020This contribution relates to the activities of the TC-19 on “Imaging Signals and Systems.” In a rapidly changing global economy, experiencing an unparalleled integration of science and technology, the development of efficient imaging systems is of extreme significance.
Martin Nowak +3 more
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Pedestrian Detection and Tracking Using a Dynamic Vision Sensor
Computación y Sistemas, 2018Neuromorphic sensors such as the DynamicVision Sensor (DVS) emulate the behavior of the primary vision system. Its asynchronous behavior makes the data processing easier and faster due to the analysis is only in the active pixels. Pedestrian kinematics contains specific movement patterns feasible to be detected, like the angular movement of arms and ...
Israel Ruelas +3 more
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HashHeat: A hashing-based spatiotemporal filter for dynamic vision sensor
Integration, 2021Abstract Neuromorphic event-based dynamic vision sensors (DVS) have much faster sampling rates and a higher dynamic range than frame-based imagers. However, they are sensitive to background activity (BA) events that are unwanted. We propose HashHeat, a hashing-based spatiotemporal BA filter for DVS.
Shasha Guo 0001 +6 more
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Spike Coding for Dynamic Vision Sensor in Intelligent Driving
IEEE Internet of Things Journal, 2019Dynamic vision sensor (DVS) as a bio-inspired camera, has shown great advantages in wide dynamic range and high temporal resolution imaging in contrast to conventional frame-based cameras. Its ability to capture high speed moving objects enables fast and accurate detection which plays a significant role in the emerging intelligent driving applications.
Siwei Dong +3 more
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