Method, apparatus and electronic device for determining knowledge sample data set

    公开(公告)号:US11151179B2

    公开(公告)日:2021-10-19

    申请号:US16362584

    申请日:2019-03-22

    Abstract: Provided are a method, an apparatus and an electronic device for determining a knowledge sample data set, the method includes: acquiring a preset number of SPO triplet formats and source texts; acquiring, according to the SPO triplet formats, n SPO entries corresponding to the SPO triplet formats; searching, in the source texts, m first texts that match the n SPO entries, and generating a first knowledge sample data set; determining k second texts that meet the SPO triplet formats from the m first texts and generating a second knowledge sample data set; generating a target knowledge sample data set according to the first knowledge sample data set and the second knowledge sample data set. In the embodiments, the knowledge sample data set is automatically generated, the volume generation speed is fast, the cost is low, and the data size that can be produced is large, thus meeting the training requirement.

    METHOD AND APPARATUS OF TRAINING DEPTH ESTIMATION NETWORK, AND METHOD AND APPARATUS OF ESTIMATING DEPTH OF IMAGE

    公开(公告)号:US20210312650A1

    公开(公告)日:2021-10-07

    申请号:US17353634

    申请日:2021-06-21

    Inventor: Xiaoqing YE Hao SUN

    Abstract: The present disclosure provides a method of training a depth estimation network, which relates to fields of computer vision, deep learning, and image processing technology. The method includes: performing a depth estimation on an original image by using a depth estimation network, so as to obtain a depth image for the original image; removing a moving object from the original image so as to obtain a preprocessed image for the original image; estimating a pose based on the original image and modifying the pose based on the preprocessed image; and adjusting parameters of the depth estimation network according to the original image, the depth image and the pose modified. The present disclosure further provides an apparatus of training a depth estimation network, a method and apparatus of estimating a depth of an image, an electronic device, and a storage medium.

    DATA ACQUISITION METHOD AND APPARATUS

    公开(公告)号:US20210294320A1

    公开(公告)日:2021-09-23

    申请号:US17338979

    申请日:2021-06-04

    Abstract: The present disclosure discloses a data acquisition method and apparatus, and relates to the field of automatic driving. A specific implementing solution is: obtaining indication information sent by a server, the indication information including: a data type to be acquired during a driving process of a vehicle and at least one acquisition condition triggering an acquisition of data; and according to the indication information, when a state of the vehicle meets any acquisition condition, acquiring first data corresponding to the data type.

    METHOD AND APPARATUS FOR ANNOTATING VIRTUAL LANE AT CROSSING

    公开(公告)号:US20210291878A1

    公开(公告)日:2021-09-23

    申请号:US17339016

    申请日:2021-06-04

    Inventor: YANG LIU SHIYU SONG

    Abstract: A method and apparatus for annotating a virtual lane at a crossing is provided, which relates to the field of intelligent transportation, and specifically includes: calculating a virtual connecting probability of various lanes that do not connected to each other at the crossing based on driving trajectory data of a vehicles that passing through the crossing within a detection time, and generating the virtual lane at the crossing for two disconnected lanes whose virtual connecting probability is greater than a threshold, and annotating the virtual lane on a map. In this process, the virtual lane at the crossing can be automatically generated according to the driving trajectory data of the vehicles passing through the crossing, and because the driving trajectory data of the vehicles passing through the crossing is real trajectory data, which is more in conformity with actual driving rules of the vehicles, and has a higher annotation accuracy.

    METHOD, APPARATUS AND DEVICE FOR ILLEGAL VEHICLE WARNING

    公开(公告)号:US20210225162A1

    公开(公告)日:2021-07-22

    申请号:US17220640

    申请日:2021-04-01

    Abstract: Provided are a method, an apparatus and a device for illegal vehicle warning. The method includes: receiving, by a terminal device, vehicle information of an illegal vehicle in a preset area transmitted by a traffic control unit; and performing, by the terminal device, the illegal vehicle warning when it is determined that a target vehicle may collide with the illegal vehicle according to the vehicle information of the illegal vehicle in the preset area. The target vehicle entering a preset area receives the vehicle information of an illegal vehicle in the preset area, and performs the illegal vehicle warning when it is determined that the target vehicle may collide with the illegal vehicle according to the vehicle information of the illegal vehicle in the preset area, thereby avoiding or mitigating the collision of the target vehicle and the illegal vehicle, and improving the traffic safety of the target vehicle.

    POSITIONING METHOD AND APPARATUS
    566.
    发明申请

    公开(公告)号:US20210215832A1

    公开(公告)日:2021-07-15

    申请号:US17214630

    申请日:2021-03-26

    Abstract: The present application discloses a positioning method and an apparatus, which relate to the technical field of intelligent driving. A specific implementation solution is: determining a first positioning result using point cloud data collected by lidar in combination with a laser point cloud reflection value map; constructing a constraint condition using the first positioning result, where the constraint condition is used to accelerate a convergence speed of solving a receiver position using observation data; performing GNSS-PPP positioning using the constraint condition in combination with observation data of a GNSS receiver to obtain a second positioning result. Using this solution, lidar positioning technology is combined with GNSS-PPP positioning technology to realize a purpose of not relying on a GNSS base station.

    METHOD FOR DISPLAYING ELECTRONIC MAP, ELECTRONIC DEVICE AND READABLE STORAGE MEDIUM

    公开(公告)号:US20210209727A1

    公开(公告)日:2021-07-08

    申请号:US17207525

    申请日:2021-03-19

    Inventor: JUNTAO TONG

    Abstract: The present application discloses a method for displaying an electronic map, an electronic device and a readable storage medium, and relates to the technical field of electronic maps, intelligent transportation, automatic driving, artificial intelligence technologies, etc. The specific implementation scheme is: after receiving a downsizing instruction from an electronic device, a server generates second map data under a second scale according to first map data under a first scale, and obtains third map data by repairing the second map data according to a neighboring relation of map elements, and the third map data is configured to eliminate a crack between adjacent map elements in the plurality of map elements contained in the second map data. After receiving the third map data, the electronic device renders and displays the electronic map in the second scale.

    SPEECH RECOGNITON METHOD, APPARATUS, DEVICE AND READABLE STORAGE MEDIUM

    公开(公告)号:US20210193143A1

    公开(公告)日:2021-06-24

    申请号:US17128994

    申请日:2020-12-21

    Abstract: The present application discloses a speech recognition method, apparatus, device and readable storage medium, and relates to the technical field of artificial intelligence. A specific implementation includes: an electronic device recognizes a speech signal to obtain a first text; if a first pinyin sequence corresponding to the first text exists in the database, the electronic device uses a correct text corresponding to the first pinyin sequence as the speech recognition result; otherwise, the electronic device performs a fuzzy matching on the first pinyin sequence to obtain multiple second pinyin sequences and second texts corresponding to the second pinyin sequences, and selects the speech recognition result from the multiple second texts.

    METHOD, APPARATUS AND ELECTRONIC DEVICE FOR DETERMINING SKIN SMOOTHNESS

    公开(公告)号:US20210192725A1

    公开(公告)日:2021-06-24

    申请号:US17021114

    申请日:2020-09-15

    Abstract: The present disclosure discloses a method, apparatus and electronic device for determining skin smoothness, which relates to the field of computer vision technologies. The specific implementation solution is as follows: when the skin smoothness is calculated, an image to be detected including a face area is obtained first, and then the image to be detected and a smoothness analysis mask image corresponding to the image to be detected are inputted into a deep learning model to obtain a plurality of feature vectors for indicating the skin smoothness of the face. Because the smoothness analysis mask image does not include preset factors including at least one of five sense organs, reflection and hair, the influence of the preset factors on the skin smoothness is avoided, so that the accuracy for the skin smoothness of the face is ensured to a certain extent.

    METHOD AND APPARATUS FOR CORRECTING DISTORTED DOCUMENT IMAGE

    公开(公告)号:US20210192696A1

    公开(公告)日:2021-06-24

    申请号:US17151783

    申请日:2021-01-19

    Abstract: Embodiments of the present disclosure provide a method and apparatus for correcting a distorted document image, where the method for correcting a distorted document image includes: obtaining a distorted document image; and inputting the distorted document image into a correction model, and obtaining a corrected image corresponding to the distorted document image; where the correction model is a model obtained by training with a set of image samples as inputs and a corrected image corresponding to each image sample in the set of image samples as an output, and the image samples are distorted. By inputting the distorted document image to be corrected into the correction model, the corrected image corresponding to the distorted document image can be obtained through the correction model, which realizes document image correction end-to-end, improves accuracy of the document image correction, and extends application scenarios of the document image correction.

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