Results 21 to 30 of about 3,083,050 (398)
Sensor Fusion for Taste Sensor and Odor Sensor [PDF]
Recent research on a taste sensor stimulated the development of several kinds of sensing systems that have the ability to discriminate various tastes of beverages or foods. Most of these sensors involve the concept of global sensing, i.e. non-specifically detected signals are analyzed to extract the inherent taste characteristics (Toko, 1996).
S. Umetani+3 more
openaire +3 more sources
A Review of Multi-Sensor Fusion SLAM Systems Based on 3D LIDAR
The ability of intelligent unmanned platforms to achieve autonomous navigation and positioning in a large-scale environment has become increasingly demanding, in which LIDAR-based Simultaneous Localization and Mapping (SLAM) is the mainstream of research
Xiaobin Xu+7 more
semanticscholar +1 more source
A Secure Sensor Fusion Framework for Connected and Automated Vehicles Under Sensor Attacks [PDF]
As typical applications of cyber–physical systems (CPSs), connected and automated vehicles (CAVs) are able to measure the surroundings and share local information with the other vehicles by using multimodal sensors and wireless networks.
Tianci Yang, Chen Lv
semanticscholar +1 more source
Nowadays, the pace of society is accelerating, people’s living standard has been greatly improved compared with the past, and we pay more and more attention to the real-time, flexibility, and intelligence of medical services.
Di Zhang
doaj +1 more source
The automotive industry is transitioning towards intelligent, connected, and autonomous vehicles to avoid traffic congestion, conflicts, and collisions with increased driver safety.
F. A. Butt+5 more
semanticscholar +1 more source
Gas Detection and Identification Using Multimodal Artificial Intelligence Based Sensor Fusion [PDF]
With the rapid industrialization and technological advancements, innovative engineering technologies which are cost effective, faster and easier to implement are essential.
P. Narkhede+5 more
semanticscholar +1 more source
Multi-sensor Suboptimal Fusion Student's $t$ Filter [PDF]
A multi-sensor fusion Student's $t$ filter is proposed for time-series recursive estimation in the presence of heavy-tailed process and measurement noises. Driven from an information-theoretic optimization, the approach extends the single sensor Student's $t$ Kalman filter based on the suboptimal arithmetic average (AA) fusion approach.
arxiv +1 more source
Virtual Fusion with Contrastive Learning for Single Sensor-based Activity Recognition [PDF]
Various types of sensors can be used for Human Activity Recognition (HAR), and each of them has different strengths and weaknesses. Sometimes a single sensor cannot fully observe the user's motions from its perspective, which causes wrong predictions. While sensor fusion provides more information for HAR, it comes with many inherent drawbacks like user
arxiv +1 more source
A High-Level Track Fusion Scheme for Circular Quantities [PDF]
As sensors get more and more integrated, signal processing functions, like tracking, are performed closer to the sensor. Consequently, high level fusion is on the rise. Presented here is a high level fusion scheme incorporating not only linear,but circular quantities as well.
arxiv +1 more source
Sensor Fusion and Smart Sensor in Sports and Biomedical Applications [PDF]
The following work presents an overview of smart sensors and sensor fusion targeted at biomedical applications and sports areas. In this work, the integration of these areas is demonstrated, promoting a reflection about techniques and applications to collect, quantify and qualify some physical variables associated with the human body.
José Mendes Jr.+3 more
openaire +3 more sources