GENERATING LANE SEGMENTS USING EMBEDDINGS FOR AUTONOMOUS VEHICLE NAVIGATION

Presented herein are systems and methods for generating pathways for autonomously navigating through an environment. A computing system can identify a tensor comprising encodings derived from sensor data from an ego and map data defining a topology of an environment surrounding the ego. The computing system can determine, by applying at least a first portion of encodings to a machine learning (ML) model, a first index value defining a point within a first grid. The computing system can determine, by applying at least a second portion of encodings and the first index value to the ML model, a second index value defining the point within a second grid within the first grid. The computing system can generate a token for a pathway through the environment based on the first index value and the second index value for the point. The computing system can store a graph to include the token.