Results 241 to 250 of about 186,290 (272)

Survey on robot multi-sensor information fusion technology

2008 7th World Congress on Intelligent Control and Automation, 2008
Multi-sensor information fusion technology is an emerging technology, which is the foundation of robot intelligent control. This paper introduces the definition of multi-sensor information fusion technology from bionic, mathematic and engineering aspects respectively. Multi-sensor information fusion technologypsilas working process is explained.
null Xiaochuan Zhao, null Qingsheng Luo, null Baoling Han   +2 more
openaire   +1 more source

Multi-sensor Information Fusion by Query Refinement

2002
To support the retrieval and fusion of multimedia information from multiple real-time sources and databases, a novel approach for sensor-based query processing is described. The sensor dependency tree is used to facilitate query optimization. Through query refinement one or more sensor may provide feedback information to the other sensors. The approach
CHANG S. K, COSTAGLIOLA, Gennaro, JUNGERT E.   +2 more
openaire   +2 more sources

Multi-sensor Information Fusion Cubature Kalman Particle Filter

2016 9th International Symposium on Computational Intelligence and Design (ISCID), 2016
Distributed parameter estimation is more practical in wireless sensor networks, as it has less communication overhead and is robust in large scale sensor networks. To solve the state estimation problem of nonlinear and non-Gaussian system, we propose a distributed cubature Kalman particle filter, which use cubature Kalman filter to generate the ...
Jinwang Huang, Guangming Li, Huaqiang Yuan   +2 more
openaire   +1 more source

Observation Capability for Distributed Multi-Sensor Information Fusion

2019 IEEE International Conference on Signal, Information and Data Processing (ICSIDP), 2019
In distributed multi-sensor system, many information fusion rules have been investigated to process the information data. And, it is a primary issue to study better fusion rules. In this paper, a statistical viewpoint that multi-sensor information fusion rules based on Fisher information are investigated.
Zheng Yang, Yongqiang Cheng, Hao Wu
openaire   +1 more source

Fusion Method for Uncertain Multi-sensor Information

2008 International Conference on Intelligent Computation Technology and Automation (ICICTA), 2008
Aimed at multi-sensor Information fusion on object-level, in which the characteristic values of object types and observations of sensors are in the form of interval numbers, a new fusion method is proposed from the viewpoint of decision making theory. The method defines the deviation degree between two interval numbers.
openaire   +1 more source

Information fusion based filtering for multi-sensor system

2008 Chinese Control and Decision Conference, 2008
In allusion to the state estimation problem of the multi-sensor system, two filtering algorithms based on information fusion estimation theory are presented, which called the measurement fusion filtering and the state fusion filtering. The former is based on the idea of fusion first and then filtering.
null Wang Zhisheng, null Zhen Ziyang, null Hu Yong   +2 more
openaire   +1 more source

Multi-sensor information fusion extended Kalman particle filter

2010 2nd International Conference on Advanced Computer Control, 2010
In this paper, a new extended Kalman particle filter based information fusion is proposed for state estimation problem of nonlinear and non-Gaussian systems. It uses extended Kalman filter algorithm to update particles in particle filter, with which the local state estimated values can be calculated.
null Mao Lin, null Liu Sheng
openaire   +1 more source

Fast obstacle detection based on multi-sensor information fusion

SPIE Proceedings, 2014
Obstacle detection is one of the key problems in areas such as driving assistance and mobile robot navigation, which cannot meet the actual demand by using a single sensor. A method is proposed to realize the real-time access to the information of the obstacle in front of the robot and calculating the real size of the obstacle area according to the ...
Linli Lu, Jie Ying
openaire   +1 more source

Multi-sensor Information Fusion Based on Rough Set Theory

The Proceedings of the Multiconference on "Computational Engineering in Systems Applications", 2006
Aiming at the problem that the data in the information fusion often overloads, the method that rough set application in neural network was proposed, in which useful attributes were extracted from given training data and redundant attributes were deleted utilizing numerical analysis ability of rough set theory, so sample size can be reduced.
Xiu-jiang Lv, Yan Zhao, Guang-shun Yao, Qiao-chu Lv, Ning Wang   +4 more
openaire   +1 more source

Information Fusion of Multi-Sensor Images

2009
The human perception to the outside world is the results of action among brain and many organs. For example, the intelligent robots that people currently investigate can have many sensors for sense of vision, sense of hearing, sense of taste, sense of smell, sense of touch, sense of pain, sense of heat, sense of force, sense of slide, sense of approach
openaire   +1 more source