Patent ID: 11928965
Assignee: PHANTOM AI, INC.
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 16:
17. A non-transitory computer-readable storage medium storing executable code for predicting lane lines of roadways using a lane detection system of an autonomous vehicle, the code when executed by one or more computer processors causes the one or more computer processors to individually or collectively perform step comprising:
receiving, by the lane detection system that is untrained, training to predict lane lines of roadways in real-time images, the training based on training data that is automatically generated based at least in part on a plurality of training images that each include a lane line occluded by an object and reconstructed portions of the lane line;
receiving, by the trained lane detection system, a real-time image of a roadway that a vehicle is travelling on, the real-time image including at least one lane line that is occluded by an object in the roadway;
generating, by the trained lane detection system, a prediction of a reconstruction of the at least one lane line that is occluded in the real-time image; and
communicating, by the trained lane detection system, the prediction to a vehicle control system of the vehicle for at least semi-autonomous control of the vehicle.