GenAD: Innovative solutions for autonomous driving

The GenAD framework adopts the standard BEV processing in the perception stage to extract agent-centric scene landmarks that are fused with map features. To model the high-level structured features of each agent, a variational autoencoder is used to map the ground truth trajectory into a Gaussian distributed latent space.