2results about How to "Accurate and effective" patented technology

This application relates to the field of intelligent driving, and discloses an information fusion method. The method is applied to intelligent vehicles, and includes: obtaining a plurality of sensing information sets, where each sensing information set includes information about at least one target, and different sensing information sets come from sensing systems of different devices; and when at least two sensing information sets in the plurality of sensing information sets include information about a first target, fuse the information about the first target in the at least two sensing information sets, to obtain fused information about the first target. In the method, information about a same target in a plurality of sources is fused to make the fused information about the target more accurate and effective.

The application belongs to the technical field of network space cognition domain, and discloses a personalized topic text public opinion material generation method and system. The method introduces influential user discovery under a topic into personalized text content generation, adopts a graph neural network method of graph link prediction and node importance to discover important users, automatically discovers high-value and important influential users from a sparse user social relationship network under a topic background, and takes the users as use objects of personalized text content generation. Meanwhile, in combination with a large-scale dialogue language model based on deep learning, the method fuses feature coding representation of social importance of the users and positive and negative sentiment of text, and automatically generates sentiment controllable personalized text based on social characteristics of the users. The application introduces influential user discovery under a certain topic and sentiment positive and negative personalized text generation, and solves the problem that review and dialogue short text generation cannot be accurately based on high-value social user attribute information under a context background.