scholarly journals Sensor data fusion for the industrial artificial intelligence of things

2021 ◽  
Author(s):  
Youcef Djenouri ◽  
Asma Belhadi ◽  
Gautam Srivastava ◽  
Essam H. Houssein ◽  
Jerry Chun‐Wei Lin
Keyword(s):  
Artificial Intelligence ◽  
Data Fusion ◽  
Sensor Data ◽  
Sensor Data Fusion

scholarly journals Application of Artificial Intelligence Detection System Based on Multi-sensor Data Fusion

2018 ◽  
Vol 14 (06) ◽  
pp. 31 ◽  
Author(s):  
Meifang Han
Keyword(s):  
Artificial Intelligence ◽  
Data Fusion ◽  
Obstacle Avoidance ◽  
Detection System ◽  
Sensor Data ◽  
Vehicle Navigation ◽  
Fusion Technology ◽  
Unmanned Vehicle ◽  
Sensor Data Fusion ◽  
Multi Sensor Data Fusion

<p class="0abstract"><span lang="EN-US">Aiming at <a name="_Hlk508710819"></a>solving </span><span lang="EN-US">the navigation and obstacle avoidance of the unmanned vehicle</span><span lang="EN-US">,</span><span lang="EN-US">the multi sensor data fusion technology</span><span lang="EN-US"> and</span><span lang="EN-US"> unmanned vehicle obstacle avoidance navigation algorithm </span><span lang="EN-US">were</span><span lang="EN-US"> studied</span><span lang="EN-US"> profoundly. A</span><span lang="EN-US">ccording to the requirements of the application of unmanned vehicle navigation and obstacle avoidance system, multi</span><span lang="EN-US">sensor data fusion technology </span><span lang="EN-US">wa</span><span lang="EN-US">s applied to unmanned vehicle navigation and obstacle avoidance control system</span><span lang="EN-US">. In addition,</span><span lang="EN-US"> A*VFF navigation and obstacle avoidance algorithm </span><span lang="EN-US">based on</span><span lang="EN-US"> fuzzy neural network</span><span lang="EN-US"> was</span><span lang="EN-US"> improved</span><span lang="EN-US">. F</span><span lang="EN-US">inally</span><span lang="EN-US">,</span><span lang="EN-US"> through the construction of the simulation platform, simulation experiment</span><span lang="EN-US"> of</span><span lang="EN-US"> the unmanned vehicle obstacle avoidance navigation </span><span lang="EN-US">was </span><span lang="EN-US">completed, </span><span lang="EN-US">and</span><span lang="EN-US"> a better route</span><span lang="EN-US"> was planned for </span><span lang="EN-US">unmanned vehicl</span><span lang="EN-US">e</span><span lang="EN-US"> in a more complex environment</span><span lang="EN-US">. The results showed that it</span><span lang="EN-US"> realize</span><span lang="EN-US">d</span><span lang="EN-US"> the autonomous navigation of unmanned vehicle and obstacle avoidance function. </span><span lang="EN-US">Based on the above findings, it is concluded that the application of artificial intelligence detection system has good performance.</span></p>

Machine Learning/Artificial Intelligence for Sensor Data Fusion–Opportunities and Challenges

2021 ◽  
Vol 36 (7) ◽  
pp. 80-93
Author(s):  
Erik Blasch ◽  
Tien Pham ◽  
Chee-Yee Chong ◽  
Wolfgang Koch ◽  
Henry Leung ◽  
...  
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Data Fusion ◽  
Sensor Data ◽  
Sensor Data Fusion

Operator Use of Multi-Sensor Data Fusion for Airborne Picture Compilation

2020 ◽  
Author(s):  
Geoffrey Ho ◽  
Erin Kim ◽  
Shahzaib Khattak ◽  
Stephanie Penta ◽  
Tharmarasa Ratnasingham ◽  
...  
Keyword(s):  
Data Fusion ◽  
Sensor Data ◽  
Sensor Data Fusion ◽  
Multi Sensor Data Fusion
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