论文信息 - Model and Algorithm Research of Multi-Sensor Information Fusion

Model and Algorithm Research of Multi-Sensor Information Fusion

As the precondition of intelligent control for automatic system, multi-sensor information fusion technology is one of the key technologies of auto-control area. Aiming at the fusion model and algorithm, the research development of multi-sensor information fusion technology was well introduced and concluded in detail. Finally, the future research work tendencies were pointed out.

Zhiliang Zhu | Jing Hu | Shaoming Chen | Yan Shen

[1] Zhang Jian-yun. Multisensor Target Identification Based on Mass Function of Statistical Evidence and D-S Evidence Theory , 2006 .

[2] Kai Lin,et al. System Design and Data Fusion in Body Sensor Networks , 2012 .

[3] He Sheng-qi. The application of information fusion technology based on BP neural network in water monitoring , 2010 .

[4] Quan Pan,et al. Design and implementation of algorithm-level testbed for multi-sensor information fusion , 2013, Proceedings of the 32nd Chinese Control Conference.

[5] Yang Long-po. Research Actualities and Problems on Multisensor Target Recognition System Model , 2010 .

[6] Li Xiang. Research on Temporal-Spatial Information Fusion Model Based on DS Theory , 2011 .

[7] Huang Xiao-rui. Multi-sensor information fusion algorithm based on federal Kalman filter and its application , 2001 .

[8] M. Bedworth,et al. The Omnibus model: a new model of data fusion? , 2000 .

[9] Yu Xin,et al. Essential Methods and Progress of Information Fusion Theory , 2003 .

[10] Henry Leung,et al. Data fusion in intelligent transportation systems: Progress and challenges - A survey , 2011, Inf. Fusion.

[11] Miguel A. Patricio,et al. A Data Fusion Perspective on Human Motion Analysis Including Multiple Camera Applications , 2013, IWINAC.