METHOD FOR OPTIMIZING OR ONLINE OPTIMIZING EXTRINSIC PARAMETERS OF FISHEYE-LENS CAMERAS APPLIED TO SURROUND-VIEW STITCHING

    公开(公告)号:US20250086835A1

    公开(公告)日:2025-03-13

    申请号:US18826466

    申请日:2024-09-06

    Inventor: Fan DONG Cho-Han WU

    Abstract: A method and system is provided in a simulation platform for optimizing the extrinsic parameters of fisheye-lens cameras installed on a vehicle. A simulated vehicle is established according to vehicular characteristics of associated actual vehicle over the simulated platform, thereby a lot of simulated checkerboard calibration plates are placed surrounding the simulated vehicle. A lot of simulated fisheye-lens cameras are generated and mounted on the simulated vehicle based on intrinsic parameters associated with actual fisheye lenses, and fisheye images are derived by using the simulated fisheye-lens cameras, respectively. The initially extrinsic parameters of each of the simulated fisheye-lens cameras are calculated over the simulated platform by using the first characteristic points of its own first fisheye image. Those initially extrinsic parameters may be used to optimize stitching images of the vehicle-surrounding-view systems, or be used to calculate installation tolerances when disposing fisheye-lens cameras physically.

    METHOD FOR ONLINE OBTAINING AN INITIALLY EXTRINSIC PARAMETER OF FISHEYE-LENS CAMERAS APPLIED TO SURROUND-VIEW STITCHING

    公开(公告)号:US20250085192A1

    公开(公告)日:2025-03-13

    申请号:US18826500

    申请日:2024-09-06

    Abstract: A method and system is provided in a simulation platform for optimizing the extrinsic parameters of fisheye-lens cameras installed on a vehicle. A simulated vehicle is established according to vehicular characteristics of associated actual vehicle over the simulated platform, thereby a lot of simulated checkerboard calibration plates are placed surrounding the simulated vehicle. A lot of simulated fisheye-lens cameras are generated and mounted on the simulated vehicle based on intrinsic parameters associated with actual fisheye lenses, and fisheye images are derived by using the simulated fisheye-lens cameras, respectively. The initially extrinsic parameters of each of the simulated fisheye-lens cameras are calculated over the simulated platform by using the first characteristic points of its own first fisheye image. Those initially extrinsic parameters may be used to optimize stitching images of the vehicle-surrounding-view systems, or be used to calculate installation tolerances when disposing fisheye-lens cameras physically.

    Object Detection Device and Object Detection Method

    公开(公告)号:US20230186506A1

    公开(公告)日:2023-06-15

    申请号:US17699467

    申请日:2022-03-21

    CPC classification number: G06T7/70 G06V10/25 G06V10/82 G06T7/20 G06T3/40

    Abstract: There is provided an object detection device and an object detection method. The processor of the object detection device defines respective overall image areas of a plurality of first sensed images from a plurality of original sensed images as first regions of interest; the processor defines respective partial image areas of a plurality of second sensed images from the plurality of original sensed images as second regions of interest, and crops out a plurality of third sensed images; the processor inputs the plurality of first sensed images and the plurality of third sensed images to a deep neural network learning model, so that the deep neural network learning model outputs image information of a target object image in the plurality of first sensed images and the plurality of third sensed images, respectively. By this, a function of detecting an object in front with high reliability is provided by means of image detection.

    Neural network image identification system, neural network building system and method

    公开(公告)号:US11556801B2

    公开(公告)日:2023-01-17

    申请号:US16865471

    申请日:2020-05-04

    Inventor: Chunwen Chen

    Abstract: The present disclosure relates to a neural network image identification system and a neural network building system and method used therein. The neural network building method comprises: forming a combination sequence of instruction graphic tags according to a plurality of instruction graphic tags selected by a user and displayed on a screen; combining a plurality of program sets corresponding to the plurality of instruction graphic tags in an order identical to that of contents in the combination sequence of these instruction graphic tags, to generate a neural network program; and checking whether the combination sequence of instruction graphic tags conforms to one or more preset rules before the neural network program is compiled. Therefore, the neural network image identification system is configured to identify an image to be identified captured by an image capturing device, while the neural network image identification program for identifying images by the neural network image identification system can be built by the neural network building system in accordance with needs of users.

    Non-volatile memory apparatus and reading method thereof

    公开(公告)号:US11334429B2

    公开(公告)日:2022-05-17

    申请号:US16985241

    申请日:2020-08-05

    Abstract: A non-volatile memory apparatus includes an error checking and correcting (ECC) decoding circuit, a first cyclic redundancy check (CRC) circuit, a second CRC circuit, and an interface circuit. The ECC decoding circuit decodes an original codeword to obtain a decoded codeword. The interface circuit receives and provides a first data portion of the decoded codeword to a host. The first CRC circuit performs a first CRC on the first data portion and generates a check status message based on a relationship between a result of the first CRC and a first CRC code of the decoded codeword. The second CRC circuit performs a second CRC on the first data portion to generate a second CRC code. The second CRC circuit determines whether to further change the second CRC code to make the second CRC code not match the first data portion according to the check status message.

    DATA STORAGE SYSTEM AND GLOBAL DEDUPLICATION METHOD THEREOF

    公开(公告)号:US20210303193A1

    公开(公告)日:2021-09-30

    申请号:US17195551

    申请日:2021-03-08

    Abstract: A data storage system and a global deduplication method thereof are provided. The data storage system includes multiple storage devices and one dispatch device. The dispatch device divides an original data corresponding to a data writing request into at least one data chunk. The dispatch device performs a summary calculation on one data chunk, so as to generate a representative value. The dispatch device performs a first distribution calculation on the representative value, so as to determine a destination location corresponding to the representative value. The dispatch device transmits the data chunk and the representative value to at least one destination storage device among the storage devices through a communication network according to the destination location. The at least one destination storage device checks the representative value, so as to determine whether to store the data chunk in a storage space of the at least one destination storage device.

    Non-volatile memory apparatus and address classification method thereof

    公开(公告)号:US10733107B2

    公开(公告)日:2020-08-04

    申请号:US15287743

    申请日:2016-10-07

    Abstract: A non-volatile memory (NVM) apparatus and an address classification method thereof are provided. The NVM apparatus includes a NVM and a controller. The controller accesses the NVM in accordance with a write command of a host. The controller may perform the address classification method. The address classification method includes: providing a data look-up table, wherein the data look-up table includes a plurality of data entries, each of the data entries includes a logical address information, a counter value and a timer value; searching the data look-up table based on the logical address of the write command in order to obtain a corresponding counter value and a corresponding timer value; and determining whether the logical address of the write command is a hot data address based on the corresponding counter value and the corresponding timer value.

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