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1.发明申请公开(公告)号：US20220222592A1
公开(公告)日：2022-07-14
申请号：US17619112
申请日：2020-03-26
Applicant: Shenzhen Institutes of Advanced Technology
Inventor： Lei PENG , Kangshuai ZHANG , Huiyun LI
Abstract: A method and an apparatus for determining a service area of a parking lot, a device and a storage medium are provided. The method includes the following: clustering is performed on all first parking lots to obtain at least one second parking lot set according to an initial weight and initial position information of each first parking lot in a first parking lot set; a transition probability matrix corresponding to each second parking lot in each second parking lot set is determined according to the initial weight and the initial position information, where a transition probability in the transition probability matrix is used for indicating a probability that a parking user transfers to another second parking lot in the same second parking lot set when there is no empty parking space in the second parking lot; and a service capacity value of each second parking lot is determined.
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Patent Agency Ranking
2.发明申请公开(公告)号：US20220092336A1
公开(公告)日：2022-03-24
申请号：US17542692
申请日：2021-12-06
Applicant: Shenzhen Institutes of Advanced Technology
Abstract: An adversarial image generation method, a computer device, and a computer-readable storage medium are provided. The method includes the following. A reference model classification-equivalent with a target classification model is generated according to the target classification model. A target image is obtained and an original noise for the target image is generated according to the reference model. A first noise and the original noise are input into an adversarial model and a second noise corresponding to the first noise is output when the adversarial model meets a convergence condition, where the second noise enhances an information entropy of the original noise. An enhanced noise image corresponding to the target image is generated according to the second noise and the target image, where a classification accuracy of the enhanced noise image in the target classification model is less than a classification accuracy of the target image in the target classification model.
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公开(公告)号：US20220156871A1
公开(公告)日：2022-05-19
申请号：US17440643
申请日：2019-05-15
Inventor： Lei PENG , Qinghao LU
Abstract: A ranking method of urban parking lots based on temporal and spatial features and its device, terminal and medium, wherein the method comprises: adopting service capability model and temporal-spatial transition model to get the initial service capability ranking of all parking lots and the transition probability matrix between parking lots at the moment based on all parking lots within the preset urban regions and their static and dynamic information; using the power iteration algorithm to iteratively calculate the comprehensive service capability ranking of all parking lots at the moment in accordance with initial service capability ranking and transition probability matrix until the stopping conditions for the iteration are met; sequencing the parking lots based on comprehensive service capability ranking, thus achieving real-time quantitative computation of service capability of any urban parking lot from the temporal and spatial dimensions
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公开(公告)号：US20210125497A1
公开(公告)日：2021-04-29
申请号：US17121141
申请日：2020-12-14
Applicant: Shenzhen Institutes of Advanced Technology
Inventor： Lei PENG , Yuqiang SUN , Huiyun LI
IPC: G08G1/14
Abstract: A parking lot data repair method and apparatus, a device, and a storage medium. The method comprises: calculating spatial similarity between two parking lots according to the spatial features of the parking lots and a spatial similarity measurement model; clustering the parking lots into different parking lot clusters according to the spatial similarity, and calculating a spatial similarity probability corresponding to each parking lot cluster; calculating data similarity between two sample parking lots in the same parking lot cluster, and according to the data similarity and the spatial similarity probability corresponding to the parking lot cluster, calculating the data similarity probability of the parking lot cluster under a similar spatial condition; and when the data similarity probability under the similar spatial condition exceeds a probability threshold value, performing data repair on the parking lot to be repaired in the parking lot cluster by means of a cyclic generation-type confrontation network.
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公开(公告)号：US20220253351A1
公开(公告)日：2022-08-11
申请号：US17618758
申请日：2020-03-26
Applicant: Shenzhen Institutes of Advanced Technology
Inventor： Lei PENG , Junnan ZHANG , Huiyun LI
IPC: G06F11/07
Abstract: A method and an apparatus for generating time series data based on multi-condition constraints, and a medium are provided. The method include the following: a data repair request from a client is received, the data repair request including to-be-repaired data and condition information; normalization processing is performed on the to-be-repaired data to obtain normalized data, and tensor processing is performed on the condition information to obtain a feature label; a trained data repair model is called to perform repair processing on the normalized data according to the feature label to obtain first repaired data, the data repair model being obtained by training according to sample data, a first sample condition, real sample data and a second sample condition, and the sample data being noise data; and the first repaired data is sent to the client. By adopting embodiments of the application, rich features of the data can be acquired without a large amount of historical data or sample data with high matching degree as training basis, thus ensuring the accuracy and timing of the repaired data, and improving the repair efficiency and quality.
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公开(公告)号：US20220165155A1
公开(公告)日：2022-05-26
申请号：US17440626
申请日：2019-05-08
Applicant: SHENZHEN INSTITUTES OF ADVANCED TECHNOLOGY
Abstract: A parking guidance method based on temporal and spatial features and its device, equipment, and storage medium, wherein the said method consists of two steps: accessing the estimated driving information of the targeted vehicles (S101), where the estimated driving information includes the targeted vehicle's planned driving route, destination and estimated time of arrival; inputting the estimated driving information into the pre-trained city-wide parking guidance system to generate recommended parking lot information for the targeted vehicle, where the city-wide parking guidance system is a spatiotemporal classifier trained with the parking events of urban cities in the current city as the training data (S102). The said method eliminates the necessity of relying on parking data from urban parking lots and effectively improves the city-wide parking guidance effect.
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