Stakes of neuromorphic foveation: a promising future for embedded event cameras
Biological Cybernetics, 2022 Abstract Foveation can be defined as the organic action of directing the gaze towards a visual region of interest, to acquire relevant information selectively. With the recent advent of event cameras, we believe that taking advantage of this visual neuroscience mechanism would greatly improve the efficiency of event-data processing.
Amélie Gruel +6 more
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Artificial cognitive systems: From VLSI networks of spiking neurons to neuromorphic cognition [PDF]
, 2009 Neuromorphic engineering (NE) is an emerging research field that has been attempting to identify neural types of computational principles, by implementing biophysically realistic models of neural systems in Very Large Scale Integration (VLSI) technology.
Douglas, R J +8 more
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Neuromorphic sequence learning with an event camera on routes through vegetation
Science Robotics, 2023 For many robotics applications, it is desirable to have relatively low-power and efficient onboard solutions. We took inspiration from insects, such as ants, that are capable of learning and following routes in complex natural environments using relatively constrained sensory and neural systems.
Zhu, L., Mangan, M., Webb, B.
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A VLSI neuromorphic device for implementing spike-based neural networks [PDF]
, 2011 Indiveri G, Chicca E. A VLSI neuromorphic device for implementing spike-based neural networks. Presented at the Proceedings of the 21st Italian Workshop on Neural Nets (WIRN).We present a neuromorphic VLSI device which comprises hybrid analog/digital ...
Morabito, C. F. +5 more
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Exploring the Potential of Event Camera Imaging for Advancing Remote Pupil-Tracking Techniques
Applied Sciences, 2023 Pupil tracking plays a crucial role in various applications, including human–computer interactions, biometric identification, and Autostereoscopic three-dimensional (3D) displays, such as augmented reality (AR) 3D head-up displays (HUDs). This study aims
Dongwoo Kang +2 more
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Neuromorphic Engineering: From Neural Systems to Brain-Like Engineered Systems [PDF]
, 2013 Morabito FC, Andreou AG, Chicca E. Neuromorphic Engineering: From Neural Systems to Brain-Like Engineered Systems. Neural Networks.
Andreou, Andreas G. +2 more
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Systematic configuration and automatic tuning of neuromorphic systems [PDF]
, 2011 In the past recent years several research groups have proposed neuromorphic Very Large Scale Integration (VLSI) devices that implement event-based sensors or biophysically realistic networks of spiking neurons.
Sheik, S. +14 more
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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
doaj +1 more source
Analytical Review of Event-Based Camera Depth Estimation Methods and Systems
Sensors, 2022 Event-based cameras have increasingly become more commonplace in the commercial space as the performance of these cameras has also continued to increase to the degree where they can exponentially outperform their frame-based counterparts in many ...
Justas Furmonas +2 more
doaj +1 more source
Neuromorphic Optical Flow and Real-time Implementation with Event Cameras
2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), 2023 Optical flow provides information on relative motion that is an important component in many computer vision pipelines. Neural networks provide high accuracy optical flow, yet their complexity is often prohibitive for application at the edge or in robots, where efficiency and latency play crucial role.
Yannick Schnider +7 more
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