多传感器信息融合技术在智能机器人环境感知中的研究进展及应用

多传感器信息融合技术是一种有别于经典数据处理技术的高级处理方式，主要目的是为了让智能设备在越来越复杂的工作环境中有更好的表现，使其能有更强的感知能力和操作精准度；在对传感器技术、人工智能、机器人技术、多传感器信息融合技术及常见多传感器信息融合的应用进行了系统的整理和研究后，针对目前的多传感器数据融合技术进行全面地介绍，并简要阐述多传感器信息融合的一般结构，重点分析不同融合算法的特点和优劣势，明确不同融合模型之间的差别以及对数据处理策略上的影响，充分列举现国内外发表的关于多传感器数据融合技术的重要研究及应用，并对多传感器数据融合技术的发展与展望做检验阐述，为多传感器数据融合技术研究提供重要理论依据。

Research progress and application of multi-sensor information fusion technology in intelligent robot environment perception

Multi-sensor information fusion technology is an advanced processing method that is different from classical data processing technology. Capability and operation accuracy; after systematically sorting out and researching the application of sensor technology, artificial intelligence, robotics, multi-sensor information fusion technology and common multi-sensor information fusion, a comprehensive analysis of the current multi-sensor data fusion technology is carried out. Introduce and briefly describe the general structure of multi-sensor information fusion, focus on analyzing the characteristics, advantages and disadvantages of different fusion algorithms, clarify the differences between different fusion models and their impact on data processing strategies, and fully enumerate the current domestic and foreign published information on multi-sensors. The important research and application of sensor data fusion technology, and the development and prospect of multi-sensor data fusion technology are tested and expounded, which provides an important theoretical basis for the research of multi-sensor data fusion technology.