SYSTEMS AND METHODS FOR ROUTE PLANNING BASED ON DEEP CONVOLUTIONAL NEURAL NETWORK

摘要

A method for route planning is disclosed. At least one device including at least one processor and a storage may implement the method. The method may include one or more of the following steps: obtaining a start location and a destination (610); obtaining a first intersection based on the start location and the destination/ obtaining a current intersection based on the exit of the intersection in the previous iteration (620); determining a target entrance of the intersection (630); determining a target exit of the intersection corresponding to the target entrance based on the road characteristic information (640); determining if the target exit on a same road segment is as the destination (650), if not, go to step 620, if yes, connecting the target entrances and target exits (660); generating a recommended route from the start location and destination (670).