This paper aims to present a brief overview of the development of sensor fusion in various
application in recent years, and to understand the challenges and ability of sensor fusion …

The target detection based on electroencephalogram (EEG) signals is a new target
detection method. This method recognizes the target by decoding the specific neural …

Traditionally, Brain-Computer Interfaces (BCI) have been explored as a means to return
function to paralyzed or otherwise debilitated individuals. An emerging use for BCIs is in …

The capabilities of autonomy have grown to encompass new application spaces that until
recently were considered exclusive to humans. In the past, automation has focused on …

In this article, we propose a novel and highly practical score-level fusion approach called
dynamic belief fusion (DBF) that directly integrates inference scores of individual detections …

ABSTRACT A primary goal for human-autonomy integration (HAI) is to balance the strengths
of human and autonomy in order to achieve performance objectives more efficiently and …

Effective collaboration between humans and autonomous agents can improve productivity
and reduce risks of human operators in safety-critical situations, with autonomous agents …

This article deals with the design and implementation of a prototype of an efficient Low-Cost,
Low-Power, Low Complexity–hereinafter (L-CPC) an image recognition system for person …

This paper considers a human-autonomy collaborative sensor data fusion for dynamic target
localization in a Bayesian framework. To compensate for the shortcomings of an …

Stereo image inputs provide higher object detection accuracy than monocular images by
enabling the detection of objects that are missed from one view while being detectable from …