Results 11 to 20 of about 486 (204)

Neuromorphic Signal Filter for Robot Sensoring

Frontiers in Neurorobotics, 2022
Noise management associated with input signals in sensor devices arises as one of the main problems limiting robot control performance. This article introduces a novel neuromorphic filter model based on a leaky integrate and fire (LIF) neural model cell, which encodes the primary information from a noisy input signal and delivers an output signal with ...
Luis M. García-Sebastián, Víctor Hugo Ponce Ponce, Humberto Sossa, Elsa Rubio-Espino, José A. Martínez-Navarro   +4 more
openaire   +3 more sources

Mixed Event-Frame Vision System for Daytime Preceding Vehicle Taillight Signal Measurement Using Event-Based Neuromorphic Vision Sensor

Journal of Advanced Transportation, 2022
An important aspect of the perception system for intelligent vehicles is the detection and signal measurement of vehicle taillights. In this work, we present a novel vision-based measurement (VBM) system, using an event-based neuromorphic vision sensor ...
Zhengfa Liu, Guang Chen, Ya Wu, Jiatong Du, Jörg Conradt, Alois Knoll   +5 more
doaj   +1 more source

Perception Understanding Action: Adding Understanding to the Perception Action Cycle With Spiking Segmentation

Frontiers in Neurorobotics, 2020
Traditionally the Perception Action cycle is the first stage of building an autonomous robotic system and a practical way to implement a low latency reactive system within a low Size, Weight and Power (SWaP) package.
Paul Kirkland, Gaetano Di Caterina, John Soraghan, George Matich   +3 more
doaj   +1 more source

Neuromorphic-P2M: processing-in-pixel-in-memory paradigm for neuromorphic image sensors

Frontiers in Neuroinformatics, 2023
Edge devices equipped with computer vision must deal with vast amounts of sensory data with limited computing resources. Hence, researchers have been exploring different energy-efficient solutions such as near-sensor, in-sensor, and in-pixel processing, bringing the computation closer to the sensor.
Md Abdullah-Al Kaiser, Md Abdullah-Al Kaiser, Gourav Datta, Zixu Wang, Ajey P. Jacob, Peter A. Beerel, Peter A. Beerel, Akhilesh R. Jaiswal, Akhilesh R. Jaiswal   +8 more
openaire   +4 more sources

Self-sustained green neuromorphic interfaces

Nature Communications, 2021
For bio-inspired neuromorphic interfaces to emulate biological signal processing and self-sustainability, the mismatch between sensing and computing signals must be addressed.
Tianda Fu, Xiaomeng Liu, Shuai Fu, Trevor Woodard, Hongyan Gao, Derek R. Lovley, Jun Yao   +6 more
doaj   +1 more source

Event Camera Simulator Improvements via Characterized Parameters

Frontiers in Neuroscience, 2021
It has been more than two decades since the first neuromorphic Dynamic Vision Sensor (DVS) sensor was invented, and many subsequent prototypes have been built with a wide spectrum of applications in mind.
Damien Joubert, Alexandre Marcireau, Nic Ralph, Andrew Jolley, André van Schaik, Gregory Cohen   +5 more
doaj   +1 more source

IMU Sensing–Based Hopfield Neuromorphic Computing for Human Activity Recognition

Frontiers in Communications and Networks, 2022
Aiming at the self-association feature of the Hopfield neural network, we can reduce the need for extensive sensor training samples during human behavior recognition.
Zheqi Yu, Adnan Zahid, Shuja Ansari, Hasan Abbas, Hadi Heidari, Muhammad A. Imran, Qammer H. Abbasi   +6 more
doaj   +1 more source

Application of Neuromorphic Olfactory Approach for High-Accuracy Classification of Malts

Sensors, 2022
Current developments in artificial olfactory systems, also known as electronic nose (e-nose) systems, have benefited from advanced machine learning techniques that have significantly improved the conditioning and processing of multivariate feature-rich ...
Anup Vanarse, Adam Osseiran, Alexander Rassau, Peter van der Made   +3 more
doaj   +1 more source

A spiking and adapting tactile sensor for neuromorphic applications [PDF]

Scientific Reports, 2020
AbstractThe ongoing research on and development of increasingly intelligent artificial systems propels the need for bio inspired pressure sensitive spiking circuits. Here we present an adapting and spiking tactile sensor, based on a neuronal model and a piezoelectric field-effect transistor (PiezoFET).
Tom Birkoben, Henning Winterfeld, Simon Fichtner, Adrian Petraru, Hermann Kohlstedt   +4 more
openaire   +3 more sources

Neuromorphic Vision Based Multivehicle Detection and Tracking for Intelligent Transportation System

Journal of Advanced Transportation, 2018
Neuromorphic vision sensor is a new passive sensing modality and a frameless sensor with a number of advantages over traditional cameras. Instead of wastefully sending entire images at fixed frame rate, neuromorphic vision sensor only transmits the local
Guang Chen, Hu Cao, Muhammad Aafaque, Jieneng Chen, Canbo Ye, Florian Röhrbein, Jörg Conradt, Kai Chen, Zhenshan Bing, Xingbo Liu, Gereon Hinz, Walter Stechele, Alois Knoll   +12 more
doaj   +1 more source