VEHICLE AUTONOMOUS DRIVING PERCEPTION SELF-LEARNING METHOD AND APPARATUS, AND ELECTRONIC DEVICE

A vehicle autonomous driving perception self-learning method and apparatus, and an electronic device are provided. The method includes: performing scenario reconstruction according to artificially constructed scenario data and real scenario data to obtain a virtual scenario, and obtaining true value data according to a real position and category of each target in the virtual scenario; rendering the virtual scenario to obtain a rendering result, and inputting the rendering result into an initial perception model to obtain perception prediction data; comparing the true value data and the perception prediction data on the basis of an overall recognition error policy and a local recognition error policy, when it is determined that there is a missing recognition target and/or a misrecognition target in the perception prediction data according to a comparison result, taking the missing recognition target and/or the misrecognition target as hard sample data, taking a scenario where the missing recognition target and/or the misrecognition target is located as a hard sample scenario, and performing driving perception self-learning on the initial perception model according to the hard sample data and the hard sample scenario until the initial perception model satisfies a preset learning end condition.