Results 31 to 40 of about 199,748 (288)

A practical approach for active camera coordination based on a fusion-driven multi-agent system [PDF]

open access: yes, 2014
In this paper, we propose a multi-agent system architecture to manage spatially distributed active (or pan-tilt-zoom) cameras. Traditional video surveillance algorithms are of no use for active cameras, and we have to look at different approaches.
Luis Bustamante, Álvaro   +2 more
core   +2 more sources

A Systematic Review on Fusion Techniques and Approaches Used in Applications

open access: yesIEEE Access, 2020
Fusion technologies have rapidly evolved. These technologies are normally customized according to the needs of domains. Despite a large number of publications on intelligence fusion applications for various domains, they are scattered.
Shaidah Jusoh, Sufyan Almajali
doaj   +1 more source

Spatial Whitening Framework for Distributed Estimation [PDF]

open access: yes, 2011
Designing resource allocation strategies for power constrained sensor network in the presence of correlated data often gives rise to intractable problem formulations.
Chen, Hao   +2 more
core   +1 more source

UAV Positioning Based on Multi-Sensor Fusion

open access: yesIEEE Access, 2020
Real-time and stable positioning data is essential for the UAV to perform various tasks. The traditional multi-sensor data fusion algorithm needs to know the measurement noise of sensor data, and even if there are corresponding adaptive methods to ...
Jing Peng   +3 more
doaj   +1 more source

PhD Forum: Investigating the performance of a multi-modal approach to unusual event detection [PDF]

open access: yes, 2011
In this paper, we investigate the parameters under- pinning our previously presented system for detecting unusual events in surveillance applications [1]. The system identifies anomalous events using an unsupervised data-driven approach.
Kelly, Philip   +2 more
core   +2 more sources

A Survey of the Multi-Sensor Fusion Object Detection Task in Autonomous Driving

open access: yesSensors
Multi-sensor fusion object detection is an advanced method that improves object recognition and tracking accuracy by integrating data from different types of sensors.
Hai Wang   +3 more
doaj   +1 more source

Variational Downscaling, Fusion and Assimilation of Hydrometeorological States via Regularized Estimation [PDF]

open access: yes, 2012
Improved estimation of hydrometeorological states from down-sampled observations and background model forecasts in a noisy environment, has been a subject of growing research in the past decades.
Ebtehaj, Ardeshir Mohammad   +1 more
core   +1 more source

Data fusion to improve trajectory tracking in a Cooperative Surveillance Multi-Agent Architecture [PDF]

open access: yes, 2010
13 pages, 12 figures.In this paper we present a Cooperative Surveillance Multi-Agent System (CS-MAS) architecture extended to incorporate dynamic coalition formation. We illustrate specific coalition formation using fusion skills.
Castanedo, Federico   +3 more
core   +2 more sources

Multilevel Structure Extraction-Based Multi-Sensor Data Fusion

open access: yesRemote Sensing, 2020
Multi-sensor data on the same area provide complementary information, which is helpful for improving the discrimination capability of classifiers. In this work, a novel multilevel structure extraction method is proposed to fuse multi-sensor data.
Puhong Duan   +3 more
doaj   +1 more source

Multi-Sensor Data Fusion Method Based on Improved Evidence Theory

open access: yesJournal of Marine Science and Engineering, 2023
To achieve autonomous navigation in complex marine environments, unmanned surface vehicles are equipped with a variety of sensors for sensing the surrounding environment and their own state. To address the issue of unsatisfactory multi-sensor information
Shuanghu Qiao   +3 more
doaj   +1 more source

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