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US 11,113,563 B2Granted
Apparatus for detecting object and method thereof
AssigneesHyundai Motor Company, Kia Motors Corporation
InventorYoung Hyun Kim
Life of this patent
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Abstract
An apparatus for detecting an object includes a processor that extracts information for object detection from image data frames based on a hierarchical structure of a convolutional neural network (CNN) and transmits information for object detection extracted from an uppermost layer of the hierarchical structure to a lower layer to detect an object based on information received at each layer, and storage that stores the information for object detection and detected object information.
Claims17
An apparatus for detecting an object, the apparatus comprising:
- at least one processor configured to extract information for object detection from image data frames based on a hierarchical structure of a convolutional neural network (CNN) and transmit information for object detection extracted from an uppermost layer of the hierarchical structure to a lower layer to detect an object based on information received at each layer;
- and
- storage configured to store the information for object detection and detected object information,
- wherein the at least one processor further includes a hidden state top-down structure for receiving the feature information and the contextual information extracted for each layer of each image data frame;
- and
- wherein the hidden state top-down structure includes a plurality of hidden state layers corresponding to a layer of the backbone network, and an uppermost hidden state layer sequentially transmits the contextual information received from the layer of the backbone network to a hidden state layer of the lower layer.
3 more elements
A method of detecting an object, the method comprising:
- extracting information for object detection from image data frames based on a hierarchical structure of a convolutional neural network (CNN);
- and
- transmitting information for object detection extracted from an uppermost layer of the hierarchical structure to a lower layer to detect an object based on information received at each layer,
- wherein the detecting of the objecting includes:
- receiving feature information and contextual information extracted for each layer of the backbone network;
- and
- detecting, by a plurality of hidden state layers corresponding to a layer of the backbone network, the object based on the feature information and the contextual information received fro the layer of the backbone network.
4 more elements
Dependencies are inferred from the claim text.