Title :
Advanced intelligent sensing system using sensor fusion
Author :
Yamasaki, Hiro ; Takahashi, Kota
Author_Institution :
Dept. of Math. Eng. & Inf. Phys., Tokyo Univ., Tokyo, Japan
Abstract :
A general three-layer hierarchical structure of an intelligent sensing system is discussed. In the bottom layer multiple sensors acquire information from the external world. In the top layer the main computer organizes available knowledge and sensed information and makes a decision or generates a final output. In the middle layer, signals from multiple sensors are integrated and fused with knowledge of the object. The essential features of the object are extracted there. An adaptive sound sensing system with visual cue is described as an example. The system acquires sound by multiple microphones, and then extracts nonstationary target sound out of a heavy noise environment using a visual cue signal. The prototype system and its algorithm have been tested experimentally
Keywords :
acoustic signal processing; adaptive filters; intelligent sensors; sensor fusion; adaptive sound sensing system; heavy noise environment; intelligent sensing system; multiple microphones; multiple sensors; nonstationary target sound; sensor fusion; three-layer hierarchical structure; visual cue; Acoustic noise; Acoustic sensors; Adaptive systems; Data mining; Fusion power generation; Intelligent sensors; Intelligent structures; Intelligent systems; Microphones; Sensor fusion;
Conference_Titel :
Industrial Electronics, Control, Instrumentation, and Automation, 1992. Power Electronics and Motion Control., Proceedings of the 1992 International Conference on
Conference_Location :
San Diego, CA
Print_ISBN :
0-7803-0582-5
DOI :
10.1109/IECON.1992.254612