Image processing system and method and automatic driving vehicle comprising system
An image processing and image technology, applied in the field of image processing systems and autonomous vehicles, can solve problems such as excessive redundant information, and achieve the effect of improving accuracy, improving efficiency, and reducing redundant information processing.
Active Publication Date: 2021-05-14
HUAWEI TECH CO LTD
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Problems solved by technology
The image processing system of the present application can process out-of-order images (that is, images that are not correlated in time and / or space) and obtain key frames, thereby solving the problem of excessive redundant information in the key frame acquisition process in the prior art problem, improving the efficiency and universality of key frame acquisition
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[0036] Various embodiments of the present application provide an image processing system and method, and an automatic driving vehicle using the system. The image processing system of the embodiment of the present application considers three different information (ternary information) of the image, the object in the image, and the position information of the object when performing feature extraction on the image, and based on the above three different information (Triple information) The encoder-decoder neural network structure of the Triplet (triple) architecture is designed, so that the object information and the position information of the object are obtained at the same time when the information is obtained from the image, so it can be more accurately based on the object The location information prediction gets keyframes. On the other hand, the scheme of the embodiment of the present application can not only be used for key frame acquisition in traditional continuous frame ...
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The invention relates to the field of artificial intelligence, and discloses an image processing system, an image processing method and an automatic driving vehicle comprising the system. The image processing system adopts a Triplet architecture. For an image, the image features, the object features in the image and the position information features of the object can be extracted at the same time by the image processing system / method, the feature vectors are obtained based on the feature information, and a key frame image can be obtained based on clustering and analysis of the feature vectors. According to the system / method provided by the invention, the processed image set has no requirement for time continuity or space association, that is, the system / method provided by the invention can process any image set and acquire the key frame in the image set, so that the processing redundancy is reduced, and the key frame acquisition efficiency is improved; and on the other hand, the position information of the object in the image is fully considered in the feature extraction process, so that the accuracy of key frame acquisition is improved.
Description
technical field [0001] The present application relates to the field of artificial intelligence, and in particular, relates to an image processing system and method and an automatic driving vehicle including the system. Background technique [0002] With the rapid development of 5G communication and Internet of Vehicles technology, autonomous driving technology has become a research hotspot. The core technologies in the field of autonomous driving include intelligent environment perception, automatic navigation and positioning, driving behavior decision-making, and intelligent path planning control. In automatic driving technology, object detection on road information (such as detecting road signs, pedestrians, etc.) is a prerequisite for driving behavior decisions. From the perspective of image processing, object detection needs to analyze and determine the image. Class information and location information of each object. [0003] At present, neural network-based machine l...
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IPC IPC(8): G06K9/00G06K9/32G06K9/34G06K9/46G06K9/62G06N3/04G06N3/08G06N20/00
CPCG06N3/084G06N20/00G06V20/56G06V20/63G06V10/267G06V10/40G06N3/048G06N3/045G06F18/23213G06F18/2431
Inventor 晋周南王旭东曹结松
Owner HUAWEI TECH CO LTD