Research on Technology and Application of Multi-Sensor Data Fusion for Indoor Service Robots

2014 ◽  
Vol 651-653 ◽  
pp. 831-834
Author(s):  
Xi Pei Ma ◽  
Bing Feng Qian ◽  
Song Jie Zhang ◽  
Ye Wang
Keyword(s):  
Data Fusion ◽  
Autonomous Navigation ◽  
Control Method ◽  
Movement Control ◽  
Sensor Data ◽  
Service Robots ◽  
Service Robot ◽  
Mobile Service ◽  
Sensor Data Fusion ◽  
Multi Sensor Data Fusion

The autonomous navigation process of a mobile service robot is usually in uncertain environment. The information only given by sensors has been unable to meet the demand of the modern mobile robots, so multi-sensor data fusion has been widely used in the field of robots. The platform of this project is the achievement of the important 863 Program national research project-a prototype nursing robot. The aim is to study a mobile service robot’s multi-sensor information fusion, path planning and movement control method. It can provide a basis and practical use’s reference for the study of an indoor robot’s localization.

scholarly journals Practical Moving Target Detection in Maritime Environments Using Fuzzy Multi-sensor Data Fusion

2020 ◽  
Author(s):  
Wenwen Liu ◽  
Yuanchang Liu ◽  
Bryan Adam Gunawan ◽  
Richard Bucknall
Keyword(s):  
Fuzzy Logic ◽  
Data Fusion ◽  
Autonomous Navigation ◽  
Maritime Transportation ◽  
Sensor Data ◽  
Moving Target ◽  
Navigation Systems ◽  
Fusion Algorithm ◽  
Sensor Data Fusion ◽  
Multi Sensor Data Fusion

Abstract As autonomous ships become the future trend for maritime transportation, it is of importance to develop intelligent autonomous navigation systems to ensure the navigation safety of ships. Among the three core components (sensing, planning and control modules) of the system, an accurate detection of target ships’ navigation information is critical. Within a typical maritime environment, the existence of sensor noises as well as the influences generated by varying environment conditions largely limit the reliability of using a single sensor for environment awareness. It is therefore vital to use multiple sensors together with a multi-sensor data fusion technology to improve the detection performance. In this paper, a fuzzy logic-based multi-sensor data fusion algorithm for moving target ships detection has been proposed and designed using both AIS and radar information. A two-stage fuzzy logic association method has been particularly developed and integrated with Kalman filtering to achieve a computationally efficient performance. The effectiveness of the proposed algorithm has been tested and validated in simulations where multiple target ships are transiting with complex movements.

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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