The invention discloses an unmanned vehicle
semantic map model building method and an application method thereof to an unmanned vehicle. Extraction of a conceptual structure indicates that key map elements such as
road networks,
road traffic participants and traffic rules related in the running process of the unmanned vehicle are reasonably abstracted into different conceptual types, establishment of the
semantic relation between concepts refers to establishment of map concept semantic hierarchical relations and incidence relations, and living examples of the conceptual types and the
semantic relation among the living examples are established in an instantiated manner to finally obtain a
semantic map for the unmanned vehicle. A map
data structure applicable to the unmanned vehicle is built, the sufficient
semantic relation among the map elements is designed, the
semantic map is generated, semantic reasoning is performed according to the semantic map, a globally planned
route, the current position and orientation of the unmanned vehicle and
peripheral real-time obstacle information to obtain local scene information of the unmanned vehicle, scene understanding of the unmanned vehicle is realized, and the unmanned vehicle is assisted in behavior decision.