Results 11 to 20 of about 119,672 (247)

Data-Driven Technology in Event-Based Vision [PDF]

Complexity, 2021
Event cameras which transmit per-pixel intensity changes have emerged as a promising candidate in applications such as consumer electronics, industrial automation, and autonomous vehicles, owing to their efficiency and robustness.
Ruolin Sun, Dianxi Shi, Yongjun Zhang, Ruihao Li, Ruoxiang Li   +4 more
doaj   +3 more sources

An Artificial Neural SLAM Framework for Event-Based Vision

IEEE Access, 2023
The SLAM problem for autonomous robots can be greatly improved by using event-based cameras. Compared to others, event-based cameras consume very low power while providing great temporal resolution and dynamic range.
Aykut G. Gelen, Ayten Atasoy
doaj   +3 more sources

Event Anonymization: Privacy-Preserving Person Re-Identification and Pose Estimation in Event-Based Vision

IEEE Access
The widespread use of visual surveillance in public areas puts individual privacy at stake while also increasing resource usage (energy, bandwidth, and computation).
Shafiq Ahmad, Pietro Morerio, Alessio Del Bue   +2 more
doaj   +3 more sources

Experiencing Prosthetic Vision with Event-Based Sensors [PDF]

Proceedings of the International Conference on Neuromorphic Systems 2022, 2022
ICONS '22: Proceedings of the International Conference on Neuromorphic Systems (Knoxville TN USA July 27-29, 2022)
Rueckauer, Bodo, van Gerven, Marcel
openaire   +1 more source

The Process of Data Validation and Formatting for an Event-Based Vision Dataset in Agricultural Environments

Applied Computer Systems, 2021
In this paper, we describe our team’s data processing practice for an event-based camera dataset. In addition to the event-based camera data, the Agri-EBV dataset contains data from LIDAR, RGB, depth cameras, temperature, moisture, and atmospheric ...
Galauskis Maris, Ardavs Arturs
doaj   +1 more source

Neuromorphic Eye-in-Hand Visual Servoing

IEEE Access, 2021
Robotic vision plays a major role in factory automation to service robot applications. However, the traditional use of frame-based cameras sets a limitation on continuous visual feedback due to their low sampling rate, poor performance in low light ...
Rajkumar Muthusamy, Abdulla Ayyad, Mohamad Halwani, Dewald Swart, Dongming Gan, Lakmal Seneviratne, Yahya Zweiri   +6 more
doaj   +1 more source

Event-Based Feature Extraction Using Adaptive Selection Thresholds

Sensors, 2020
Unsupervised feature extraction algorithms form one of the most important building blocks in machine learning systems. These algorithms are often adapted to the event-based domain to perform online learning in neuromorphic hardware. However, not designed
Saeed Afshar, Nicholas Ralph, Ying Xu, Jonathan Tapson, André van Schaik, Gregory Cohen   +5 more
doaj   +1 more source

TactiGraph: An Asynchronous Graph Neural Network for Contact Angle Prediction Using Neuromorphic Vision-Based Tactile Sensing

Sensors, 2023
Vision-based tactile sensors (VBTSs) have become the de facto method for giving robots the ability to obtain tactile feedback from their environment.
Hussain Sajwani, Abdulla Ayyad, Yusra Alkendi, Mohamad Halwani, Yusra Abdulrahman, Abdulqader Abusafieh, Yahya Zweiri   +6 more
doaj   +1 more source

CSTR: A Compact Spatio-Temporal Representation for Event-Based Vision

IEEE Access, 2023
Event-based vision is a novel perception modality that offers several advantages, such as high dynamic range and robustness to motion blur. In order to process events in batches and utilize modern computer vision deep-learning architectures, an ...
Zaid A. El Shair, Ali Hassani, Samir A. Rawashdeh   +2 more
doaj   +1 more source

A Spike-Based Neuromorphic Architecture of Stereo Vision

Frontiers in Neurorobotics, 2020
The problem of finding stereo correspondences in binocular vision is solved effortlessly in nature and yet it is still a critical bottleneck for artificial machine vision systems.
Nicoletta Risi, Alessandro Aimar, Elisa Donati, Sergio Solinas, Giacomo Indiveri   +4 more
doaj   +1 more source