A method and system for generating a semantic point cloud map. Voice input is received via a microphone and converted into text via speech-to-text synthesis. The text is decomposed into semantic data comprising a number of words, and it is determined whether keywords of the semantic data are present in an autonomous driving (AD) ontology. In response to the keywords of the semantic data being present in the AD ontology, coordinates of a point cloud map corresponding to the semantic data are determined. An association between a semantic label determined from the words of the semantic data and coordinates in the point cloud map corresponding to the semantic data is generated and stored in a memory of the computer vision system.
METHOD AND SYSTEM FOR GENERATING A SEMANTIC POINT CLOUD MAP