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公开(公告)号：US20170285956A1
公开(公告)日：2017-10-05
申请号：US15625385
申请日：2017-06-16
Applicant: Huawei Technologies Co., Ltd.
Inventor： Changliang Xue , Wenlong Huang , Guanyu Zhu , Jun Xu
IPC: G06F3/06
CPC classification number: G06F3/064 , G06F3/0616 , G06F3/0679 , G06F17/30 , G06F17/30247 , Y02D10/45
Abstract: A storage space management method and apparatus, where the method and apparatus are applied to a non-volatile memory (NVM). In a feature set that includes M image features of M idle blocks in storage space of the NVM, an idle block whose image feature is highly similar to an image feature of data to be written into the NVM is determined such that the data is written into the idle block. In this way, wear and energy consumption problems are considered during storage space allocation, and a write operation of an idle block in storage space of an NVM can consume less energy, thereby extending a life span of the NVM and reducing write operation energy consumption.
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公开(公告)号：US12062210B2
公开(公告)日：2024-08-13
申请号：US17189474
申请日：2021-03-02
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Changliang Xue , Jianfei Li , Yuxin Fu
Abstract: This application relates to the field of artificial intelligence. The technology includes: obtaining data of each three-dimensional point in a first three-dimensional point set, where the data of each three-dimensional point is collected when an intelligent device is in a first position, and the first three-dimensional point set includes a plurality of three-dimensional points located in a first coordinate system; determining a first three-dimensional point subset from the first three-dimensional point set, where the first three-dimensional point subset forms a first plane; calculating a plurality of first distances, which is a distance between a first three-dimensional point and the first position; determining a target first three-dimensional point from the first three-dimensional point subset based on the plurality of first distances; and locating the intelligent device by using the target first three-dimensional point as a constraint to obtain a pose of the first position.
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公开(公告)号：US20210183100A1
公开(公告)日：2021-06-17
申请号：US17189474
申请日：2021-03-02
Applicant: HUAWEI TECHNOLOGIES CO., LTD.
Inventor： Changliang Xue , Jianfei Li , Yuxin Fu
Abstract: This application relates to the field of artificial intelligence. The technology includes: obtaining data of each three-dimensional point in a first three-dimensional point set, where the data of each three-dimensional point is collected when an intelligent device is in a first position, and the first three-dimensional point set includes a plurality of three-dimensional points located in a first coordinate system; determining a first three-dimensional point subset from the first three-dimensional point set, where the first three-dimensional point subset forms a first plane; calculating a plurality of first distances, which is a distance between a first three-dimensional point and the first position; determining a target first three-dimensional point from the first three-dimensional point subset based on the plurality of first distances; and locating the intelligent device by using the target first three-dimensional point as a constraint to obtain a pose of the first position.
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公开(公告)号：US10261715B2
公开(公告)日：2019-04-16
申请号：US15625385
申请日：2017-06-16
Applicant: Huawei Technologies Co., Ltd.
Inventor： Changliang Xue , Wenlong Huang , Guanyu Zhu , Jun Xu
Abstract: A storage space management method and apparatus, where the method and apparatus are applied to a non-volatile memory (NVM). In a feature set that includes M image features of M idle blocks in storage space of the NVM, an idle block whose image feature is highly similar to an image feature of data to be written into the NVM is determined such that the data is written into the idle block. In this way, wear and energy consumption problems are considered during storage space allocation, and a write operation of an idle block in storage space of an NVM can consume less energy, thereby extending a life span of the NVM and reducing write operation energy consumption.
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