Abstract: A method and apparatus for forklift pickup, a computer device, and a storage medium are provided in the disclosure. The method includes the following. Observational data of a truck parking area is obtained by observing the truck parking area. Point cloud data of at least one truck is obtained in the observational data, and point cloud data of each of the at least one carrier is obtained in the point cloud data of the at least one truck. A relative pose of each of at least one carrier is determined based on the point cloud data of each of the at least one carrier. A pickup priority is determined based on the point cloud data of each of the at least one carrier. A forklift is controlled to perform pickup according to the relative pose of each of the at least one carrier and the pickup priority.

Abstract: A method and apparatus for forklift pickup, a computer device, and a storage medium are provided in the disclosure. The method includes the following. Observational data of a truck parking area is obtained by observing the truck parking area. Point cloud data of at least one truck is obtained in the observational data, and point cloud data of each of the at least one carrier is obtained in the point cloud data of the at least one truck. A relative pose of each of at least one carrier is determined based on the point cloud data of each of the at least one carrier. A pickup priority is determined based on the point cloud data of each of the at least one carrier. A forklift is controlled to perform pickup according to the relative pose of each of the at least one carrier and the pickup priority.

Abstract: The present disclosure provides an array substrate, a liquid crystal display panel and a liquid crystal display device, including: a base substrate; gate lines each extending in a first direction on the base substrate; data lines each extending in a second direction intersecting the first direction; pixel units located in regions defined by the gate lines and the data lines; each pixel unit has a first side and a second side each extending in the second direction and opposite to each other in the first direction; each pixel unit includes a first electrode including a plurality of strip-shaped 10 electrodes, at least part of the strip-shaped electrodes each have a first part and a second part extending in different directions, first parts are connected at the first side, second parts are disconnected at the second side, and lengths of the first part and the second part are different.

Abstract: The present disclosure provides a visual localization method and apparatus based on a semantic error image.

Abstract: The present disclosure provides a visual localization method and apparatus based on a semantic error image.

Abstract: A computing device is provided that is configured to obtain, from a managed network, a plurality of response times of a network-based service provided by the managed network; to train, based on the plurality of response times, a probability distribution to model the managed network; to receive an additional response time from the managed network; to use the probability distribution to determine, for the additional response time, a percentile based on the additional response time; based on the percentile, to determine that the additional response time is anomalously high with respect to the plurality of response times of the network-based service; and to transmit, to a client device associated with the managed network, an indication that the additional response time is anomalously high. The probability distribution includes a central portion based on a plurality of bins and a tail portion based on a parametric distribution.

Abstract: A computing device is provided that is configured to obtain, from a managed network, a plurality of response times of a network-based service provided by the managed network; to train, based on the plurality of response times, a probability distribution to model the managed network; to receive an additional response time from the managed network; to use the probability distribution to determine, for the additional response time, a percentile based on the additional response time; based on the percentile, to determine that the additional response time is anomalously high with respect to the plurality of response times of the network-based service; and to transmit, to a client device associated with the managed network, an indication that the additional response time is anomalously high. The probability distribution includes a central portion based on a plurality of bins and a tail portion based on a parametric distribution.