Methods and systems for sun-aware vehicle routing

    公开(公告)号:US12061091B2

    公开(公告)日:2024-08-13

    申请号:US18156475

    申请日:2023-01-19

    Applicant: Waymo LLC

    Abstract: Example implementations may relate to sun-aware vehicle routing. In particular, a computing system of a vehicle may determine an expected position of the sun relative to a geographic area. Based on the expected position, the computing system may make a determination that travel of the vehicle through certain location(s) within the geographic area is expected to result in the sun being proximate to an object within a field of view of the vehicle's image capture device. Responsively, the computing system may generate a route for the vehicle in the geographic area based at least on the route avoiding travel of the vehicle through these certain location(s), and may then operate the vehicle to travel in accordance with the generated route. Ultimately, this may help reduce or prevent situations where quality of image(s) degrades due to sunlight, which may allow for use of these image(s) as basis for operating the vehicle.

    Target detection method, computer device and non-transitory readable storage medium

    公开(公告)号:US12056897B2

    公开(公告)日:2024-08-06

    申请号:US17765366

    申请日:2021-04-09

    Inventor: Jinglin Yang

    Abstract: A target detection method includes: determining detection points corresponding to regions in an image to be detected and a probability value of a target in a region corresponding to each detection point according to the image to be detected; screening out a first detection point having a maximum probability value, and second detection point(s) having probability value(s) less than the probability value of the first detection point and greater than or equal to a probability threshold; if a first distance between each second detection point and the first detection point is greater than or equal to a distance threshold, updating an original probability value of the second detection point to obtain an updated probability value; comparing the updated probability value with the probability threshold to obtain a comparison result; and determining whether a new target in a region corresponding to the second detection point according to the comparison result.

    Display panel adjustment method, display apparatus and storage medium

    公开(公告)号:US12051349B2

    公开(公告)日:2024-07-30

    申请号:US18256282

    申请日:2022-06-24

    CPC classification number: G09G3/006 G06T7/97 G06T2207/10004 G09G2310/08

    Abstract: A display panel adjustment method, display apparatus and storage medium. Detecting whether a persistence is created on a display panel by displaying a preset detection screen, locating all zones where a persistence has appeared in case where the persistence has been created on the display panel, and determining a target gate line which probably causes the persistence to appear on the display panel; by shortening the turn-on time of a target gate line, it is possible to decrease the probability of a parasitic capacitor being formed on the target gate line, or may decrease the charge held in the parasitic capacitor formed on the target gate line, and may further increase the discharge time of the parasitic capacitor, so as to mitigate or eliminate the persistence, and improve the display effect.

    Biological sample detection device

    公开(公告)号:US11971346B2

    公开(公告)日:2024-04-30

    申请号:US17421450

    申请日:2020-01-14

    Abstract: A biological sample detection device configured to acquire color information of an object of analysis without a deterioration in color extraction accuracy caused by incorrect extraction of color of a colored label and to measure the amount of liquid and determine the type of a sample, by analyzing the biological sample housed in a biological sample tube to which a colored label is attached, and determining whether or not a colored label is present on the biological sample tube; extracting the colored label determined to be present by the colored label presence determining process; removing the colored label from the color image and extracting a detection object region in the biological sample; and analyzing to acquire color information of the detection object region and analyze the liquid amount and the type of the biological sample.

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