多传感器信息融合

《多传感器信息融合》课程介绍

 

多传感器信息融合是物联网工程专业的专业选修课,它是为满足物联网工程的理论研究和应用实践需要而设置的。这是一门既涉及一些基础理论又能同应用实践紧密结合的课程。

多传感器信息融合技术是信息科学领域的一项高新技术。是对多种信息的获取、传输与处理的基本方法、技术和手段,以及对信息的表示、内在联系和运动规律进行研究的技术。多传感器信息融合技术的理论和技术涉及了多个学科,是新一代智能信息技术的核心基础之一。

通过本课程的学习,学生将掌握如下知识:

1.  数据融合的理论基础

2.  多传感器目标检测的基本理论

3.  多传感器目标检测的性能评估

4.  目标跟踪与数据关联概论

5.  相互作用多模型—概率数据关联算法

6.  多传感器多目标跟踪的一般理论

7.  身份识别

通过本课程的学习,使学生掌握多传感器信息融合的基本理论和基本知识,培养学生在对涉及多传感器的实际场景中,分析问题和解决问题的能力。

 

 

The introduction of course --- Information Fusion of Multi-Sensors

 

Information Fusion of Multi-Sensors is a optional specialty course of web of things engineering. This course is provided for the need of the application and theoretical study for the web of things engineering.

Multi-sensor information fusion technology is a high-tech field of information science. It studies the variety of information acquisition, transmission and processing of the basic methods, techniques and tools, as well as the information that the movement of internal relations and research technology. Multi-sensor information fusion technology theory and techniques involved in a number of disciplines. It is a key foundation of the new generation of intelligent information technology.

Through this course, students will learn the following knowledge:

1. Data fusion theory

2. Basic theories for multi-sensor target detection

3. Performance evaluation for multi-sensor target detection

4. Target tracking and data association

5. Interacting multiple model - probabilistic data association algorithm

6. Basic theories for multi-sensor multi-object tracking

7. Identification

After the study of this course, students will master the basic theory and basic knowledge of multi-sensor information fusion. The analyzing and problem-solving abilities for the multi-sensor scene will be greatly improved after this course.

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