The invention discloses an intelligent unmanned vehicle
system for a rescue task scene, relates to
laser radar mapping, automatic driving and target detection and recognition, and belongs to the technical field of embedded
artificial intelligence. The invention aims to solve the problems that an existing automatic
rescue robot cannot meet the navigation requirement of a complex environment rescue scene task, cannot make a decision in real time, does not have a man-
machine interaction function and the like. According to the technical key points, the
laser radar mapping module is used for sensing environment information and converting the environment information into map data; the path planning module is used for calculating an optimal cost path between the starting point and the target point according to the obtained map data, generating motion data and outputting the motion data to the
system; the target detection module is used for acquiring image data through a depth camera, identifying a to-be-detected target, generating three-dimensional coordinate data of the target and outputting the three-dimensional coordinate data to the
system; and the voice interaction module is used for acquiring an external voice instruction in man-
machine interaction and controlling a
robot system to make decisions in real time. According to the invention, a set of automatic
robot embedded software which can automatically navigate and automatically scan the surrounding environment to identify the target after reaching the target point is developed, and the
robot can flexibly adjust the decision when facing a complex environment due to the automatic design carrying
artificial intelligence; and the strain capacity of the unmanned robot system for uncertain environmental factors is improved.