Multimodal Sensor Collaborative Information Sensing Technology

Abstract

To-date, any single function sensor is unable to guarantee the provision of completely reliable information at any time or place. Therefore, the integrated consideration of the various sensors’ advantages, the comprehensive use of the multiple sensors’ data redundancy to complement one another’s characteristics, and the collecting and acquiring of the multiple sensors’ data for organic synthesis, that is, by using multi-sensor data fusion technology, the integrated information required for system operation could be obtained. This has become the key research of the unmanned system and is a problem to be solved. Multi-sensor information fusion is actually a functional simulation of the complex problem of human brain synthesis. Compared with a single sensor, in the aspect of solving problems such as detection, tracking and target recognition, the multi-sensor information fusion technology can enhance the survivability of the system, improve the reliability and robustness of the whole system, enhance the credibility of the data, improve the accuracy, expand the time and space coverage of the system, and increase the real-time performance of the system and information utilization.