Results 131 to 140 of about 271 (167)
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Neuromorphic vision: From sensors to event‐based algorithms
WIREs Data Mining and Knowledge Discovery, 2019Regardless 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 mandatory.
Lakshmi, Annamalai +2 more
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Neuromorphic vision sensors and preprocessors in system applications
SPIE Proceedings, 1998A partial review of neuromorphic vision sensors that are suitable for use in autonomous systems is presented. Interfaces are being developed to multiplex the high- dimensional output signals of arrays of such sensors and to communicate them in standard formats to off-chip devices for higher-level processing, actuation, storage and display ...
Joerg Kramer, Giacomo Indiveri
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Object Tracking Using Multiple Neuromorphic Vision Sensors
2005In this paper we show how a combination of multiple neuromorphic vision sensors can achieve the same higher level visual processing tasks as carried out by a conventional vision system. We process the multiple neuromorphic sensory signals with a standard auto-regression method in order to fuse the sensory signals and to achieve higher level vision ...
Vlatko Becanovic +2 more
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Real-time robot tracking and following with neuromorphic vision sensor
2016 6th IEEE International Conference on Biomedical Robotics and Biomechatronics (BioRob), 2016In this paper, we consider the problem of robotic motion tracking and following with neuromorphic vision sensors. We formulate the problem in a leader-follower paradigm. The objective of the follower robot is to perform real-time motion segmentation of a scene and follow the leader robot.
Abhishek Mishra +4 more
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Efficient high speed signal estimation with neuromorphic vision sensors
2015 International Conference on Event-based Control, Communication, and Signal Processing (EBCCSP), 2015Recently developed neuromorphic vision sensors present a high speed, event-based alternative to conventional vision in robotic systems. We present a method for the design of simple, low computation estimators that take advantage of the remarkable properties of these sensors to provide low latency, high bandwidth sensing for feedback control of fast ...
Erich Mueller +2 more
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Optoelectronic resistive random access memory for neuromorphic vision sensors
Nature Nanotechnology, 2019Neuromorphic visual systems have considerable potential to emulate basic functions of the human visual system even beyond the visible light region. However, the complex circuitry of artificial visual systems based on conventional image sensors, memory and processing units presents serious challenges in terms of device integration and power consumption.
Feichi Zhou +10 more
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Optical Wireless Camera Communications using Neuromorphic Vision Sensors
2019 IEEE International Conference on Communications Workshops (ICC Workshops), 2019Camera Communications (CamCom) is the transmission of data using modulated lights acting as transmitters and a digital camera acting as a receiver. We propose a novel high speed CamCom system using Neuromorphic Vision Sensor (NVS) cameras. We present novel algorithms for detection and demodulation of modulated light sources.
Javier Perez-Ramirez +4 more
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Stabilization of linear continuous-time systems using neuromorphic vision sensors
2016 IEEE 55th Conference on Decision and Control (CDC), 2016Recently developed neuromorphic vision sensors have become promising candidates for agile and autonomous robotic applications primarily due to, in particular, their high temporal resolution and low latency. Each pixel of this sensor independently fires an asynchronous stream of “retinal events” once a change in the light field is detected.
Prince Singh +4 more
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Neuromorphic vision sensors for computer vision
There have been significant advancements in the field of artificial intelligence (AI) over the past two decades, allowing such technologies to acquire popularity in both industry and academia. Face recognition software on Facebook or the iPhone, self-driving cars, and image recognition software are examples of AI applications that have become more ...openaire +1 more source
Recent advances in imaging devices: image sensors and neuromorphic vision sensors
Rare MetalsAbstract Remarkable developments in image recognition technology trigger demands for more advanced imaging devices. In recent years, traditional image sensors, as the go‐to imaging devices, have made substantial progress in their optoelectronic characteristics and functionality. Moreover, a new breed of imaging device with information
Wen‐Qiang Wu +3 more
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