Event-based asynchronous sparse convolutional networks
Event cameras are bio-inspired sensors that respond to per-pixel brightness changes in the
form of asynchronous and sparse “events”. Recently, pattern recognition algorithms, such as …
form of asynchronous and sparse “events”. Recently, pattern recognition algorithms, such as …
[PDF][PDF] 神经形态视觉传感器的研究进展及应用综述
李家宁， 田永鸿 - 计算机学报, 2021 - jianing-li.github.io
摘要神经形态视觉传感器具有高时域分辨率, 高动态范围, 低数据冗余和低功耗等优势,
近年来在自动驾驶, 无人机视觉导航, 工业检测及视觉监控等领域(尤其在涉及高速运动和极端 …
近年来在自动驾驶, 无人机视觉导航, 工业检测及视觉监控等领域(尤其在涉及高速运动和极端 …
A bio-inspired hierarchical spiking neural network with reward-modulated stdp learning rule for aer object recognition
Q Zhou, X Li - IEEE Sensors Journal, 2022 - ieeexplore.ieee.org
The inherent spike-based and event-driven computation makes spiking neural networks
(SNNs) naturally suitable to provide efficient and low-latency solution in neuromorphic vision …
(SNNs) naturally suitable to provide efficient and low-latency solution in neuromorphic vision …
An end-to-end broad learning system for event-based object classification
Event cameras are bio-inspired vision sensors measuring brightness changes (referred to
as an 'event') for each pixel independently, instead of capturing brightness images at a fixed …
as an 'event') for each pixel independently, instead of capturing brightness images at a fixed …
Learning heterogeneous delays in a layer of spiking neurons for fast motion detection
A Grimaldi, LU Perrinet - Biological Cybernetics, 2023 - Springer
The precise timing of spikes emitted by neurons plays a crucial role in shaping the response
of efferent biological neurons. This temporal dimension of neural activity holds significant …
of efferent biological neurons. This temporal dimension of neural activity holds significant …
Artificial intelligence-based spatio-temporal vision sensors: applications and prospects
Z Li, H Sun - Frontiers in Materials, 2023 - frontiersin.org
Introduction: Advances in machine vision and mobile electronics will be accelerated by the
creation of sophisticated optoelectronic vision sensors that allow for sophisticated picture …
creation of sophisticated optoelectronic vision sensors that allow for sophisticated picture …
A 3-D spatiotemporal model for remote sensing data cubes
Satellite images from the same scene observed over time can be composed in an image
stack, which could be modeled as a 3-D cube. To handle this type of remote sensing data …
stack, which could be modeled as a 3-D cube. To handle this type of remote sensing data …
Mobile crowd-sourced data fusion and urban traffic estimation
抄録< jats: p> Urban traffic estimation is one of the critical tasks for intelligent transportation
systems (ITS). To estimate traffic condition, accurately and timely traffic data must be sensed …
systems (ITS). To estimate traffic condition, accurately and timely traffic data must be sensed …
Hypergraph neural network for gait recognition based on event camera
L Fu, S Yan - … Conference on Advanced Algorithms and Signal …, 2023 - spiedigitallibrary.org
Gait recognition is a biometric technology that has higher accuracy compared to fingerprint
recognition and facial recognition. Event Camera is a new type of camera with advantages …
recognition and facial recognition. Event Camera is a new type of camera with advantages …
Adaptive spatio-temporal clustering for small object detection using event-based camera
Z Sun, M Li, Z Lin, D Zhang… - Eighth Symposium on …, 2022 - spiedigitallibrary.org
Event-based camera outputs asynchronous temporal and spatial pulses with high temporal
resolution and dynamic range, and is capable to image high-speed, extreme light …
resolution and dynamic range, and is capable to image high-speed, extreme light …