Visual perception method, apparatus, device, and medium based on an autonomous vehicle

Abstract

The present disclosure provides a visual perception method, an apparatus, a device and a medium based on an autonomous vehicle, the method includes inputting an obtained first visual perception image collected by the autonomous vehicle into a first neural network model, recognizing multi-channel feature information of at least one target recognition object to be recognized, to eliminate redundant feature information in the first visual perception image; further, inputting the multi-channel feature information of the at least one target recognition object to be recognized into at least one sub-neural network model in a second neural network model respectively, to obtain at least one target recognition object; where there is a one to one correspondence between the target recognition object and the sub-neural network model. The present disclosure improves the speed of recognizing the target recognition object, thereby improving sensitivity of the autonomous vehicle and ensuring driving safety of the autonomous vehicle.