Abstract:
Disclosed is an apparatus and method to train an autonomous driving model. The apparatus includes a driver information collection processor configured to collect driver information while a vehicle is being driven. The apparatus also includes a sensor information collection processor configured to collect sensor information from a sensor installed in the vehicle while the vehicle is being driven, and a model training processor configured to train the autonomous driving model based on the driver information and the sensor information.
Abstract:
Disclosed are methods and apparatuses for object recognition using an artificial neural network. An object recognition apparatus includes an adjacent pixel setter configured to set the neighboring pixel pairs in the image frame, each neighboring pixel pair including first pixel and one or more second pixels adjacent to the first pixel, a labeler configured to label the first pixel using deep neural network-based model based on probability density function value of the neighboring pixel pairs, and an object recognizer configured to recognize an object based on the labeled first pixel.
Abstract:
A storage controller for writing first data to a first memory cell by performing programming of the first memory cell N-times, where N is a positive integer greater than 1, includes a write amplification manager and a central processing unit. The write amplification manager checks whether the first data is invalid data before an Nth programming of the first memory cell is performed, and the central processing unit does not perform the N-th programming of the first memory cell when the first data is the invalid data.
Abstract:
A storage controller for writing first data to a first memory cell by performing programming of the first memory cell N-times, where N is a positive integer greater than 1, includes a write amplification manager and a central processing unit. The write amplification manager checks whether the first data is invalid data before an Nth programming of the first memory cell is performed, and the central processing unit does not perform the N-th programming of the first memory cell when the first data is the invalid data.
Abstract:
Apparatuses and methods for image processing are provided. The image processing apparatus performs area classification and object detection in an image, and includes a feature map generator configured to generate the feature map of the input image using the neural network, and an image processor configured to classify the areas and to detect the objects in the image using the generated feature map.
Abstract:
Apparatuses and methods for image processing are provided. The image processing apparatus performs area classification and object detection in an image, and includes a feature map generator configured to generate the feature map of the input image using the neural network, and an image processor configured to classify the areas and to detect the objects in the image using the generated feature map.
Abstract:
Disclosed is an apparatus and method to train an autonomous driving model. The apparatus includes a driver information collection processor configured to collect driver information while a vehicle is being driven. The apparatus also includes a sensor information collection processor configured to collect sensor information from a sensor installed in the vehicle while the vehicle is being driven, and a model training processor configured to train the autonomous driving model based on the driver information and the sensor information.
Abstract:
A data storage device includes a non-volatile memory device and a controller configured to receive a command from a host and to control an operation of the non-volatile memory device based on the command. The controller includes a processor configured to receive and process the command and an address extractor configured to extract address information from the command and to output the address information to the processor before the processor processes the command.