Patent ID: 11915488
Assignee: CONTINENTAL AUTONOMOUS MOBILITY US, LLC
Field: Computer technology (Electrical engineering)
Classification: CPC G | IPC G

Claim 13:
14. A method for controlling a vehicle, comprising:
training a neural network by
receiving, by the neural network, low-light images and ground truth images,
applying, with the neural network, a loss function L to the low-light images and the ground truth images, the loss function L comprising a pixel-wise mean squared error loss LMSEk, a loss function Lck, and a weighting factor applied to the pixel-wise mean squared error loss LMSEk and the loss function Lck, and
generating, by the neural network, a low-light image enhancement model based on the applied loss function L to the low-light images and the ground truth images;

receiving, by a controller comprising at least one processor circuit and memory coupled thereto, a sequence of images of an environment surrounding a vehicle;
receiving, by the controller, location information of objects surrounding the vehicle from at least one sensor;
enhancing, by the controller, the sequence of images with the low-light image enhancement model to generate a sequence of enhanced images;
combining, by the controller, the sequence of enhanced images with the location information and localizing the vehicle by the controller based on the combination; and
performing, by the controller, at least part of at least one autonomous or semi-autonomous operation based in part upon the vehicle localization.