信息融合作为一门迅速发展的科学与工程学科，已引起世界各行业的广泛关注，其应用范围覆盖工业过程控制、军事监视、遥感、安全检查、智能交通、机器人和医学诊断等领域。信息融合是关于协同利用多传感器信息，涉及多源信息检测、相关、估计和综合，并获取目标状态、特征估计以及态势和威胁评估的一种多级智能信息处理过程。多传感器系统是信息融合技术的“硬件”基础，多源信息是信息融合的加工对象，协调优化是信息融合的核心。本课程的主要目的是讲授信息融合的基本理论和方法，包括信息融合功能模型与体系结构、数据关联、不同层次的信息融合方法、信息融合应用实例分析等内容。通过课堂教学、仿真实验、撰写研究与综述报告、课堂研讨等形式，培养学生分析、归纳和综合的基本研究技能，使学生在较短时间内掌握信息融合的基本理论和方法。

Information fusion, as a subject developing rapidly, has abstracted extensive attention in various fields of the world. Its application covers Industry Process Control, Military Surveillance, Remote Sensing, Security Check, Intelligent Transportation, Robotics, and Medical Diagnosis and so on.Information fusion is a process of multilevel intelligent information processing by utilizing multi-sensor information to acquire states of targets, estimate features and evaluate the situation and menace, including detection with multi-source information, correlation, estimation and synthesis. Multi-sensor system is the physical foundation for information fusion technology; multi-source information is the object of information fusion; harmony and optimization is the core of information fusion.The main objective of this course is to introduce the foundational theories and methods of Information Fusion, including function models for information fusion, systems and framework of information fusion, data association, information fusion methods on various level, experiments and other content.Through class teaching, projects and simulation, writing research reports and surveys, class discussion and other teaching methods, this course is supposed to develop students’ basic research skills in analyzing, induction and synthesizing and make them master the foundational theories and methods of Information Fusion in short time.