Abstract: Embodiments of the present disclosure provide a method and a coroutine framework for processing parallel tasks, a device, a medium and an unmanned vehicle. The method includes: switching a current coroutine to a target coroutine in response to a task switching instruction, in which, the coroutine is created at a user layer for processing a task, and the coroutine at the user layer is executed by a thread at a kernel layer; and saving context of a task processed by the current coroutine, and reading context of a task processed by the target coroutine, such that the thread at the kernel layer corresponding to the target coroutine processes the task based on the context of the target coroutine when executing the target coroutine.

Abstract: The embodiments of the present disclosure provide a method and a device for implementing read-write lock reentry, a terminal and a storage medium. The method includes: receiving a write lock request of a thread to a target resource; in response to determining that the target resource is in a write-lock-exclusive state, acquiring a historical write-lock thread to the target resource that is in the write-lock-exclusive state; in response to determining that the thread is identical to the historical write-lock thread, adding a new lock of the thread to the target resource.

Abstract: Embodiments of the preset disclosure provide a task scheduling method, an apparatus, an electronic device, and a storage medium. The method comprises traversing tasks in a current queue, and obtaining current values of current state information and a frequency parameter for each task that has been traversed, wherein the frequency parameter is a preset parameter for indicating a scheduled frequency of a corresponding task; selecting a task with the minimum scheduled frequency in the tasks having the current state information indicating an executable state as a target task according to the current values of the current state information and the frequency parameter for each task; and executing the selected target task, and updating the current value of the frequency parameter corresponding to the target task after the target task is executed.

Abstract: The present application discloses a method and an apparatus for transmitting a message. The method of an embodiment comprises: dividing a shared memory area allocated by an operating system into a plurality of memory blocks for storing messages having different priorities; dividing each memory block in the plurality of memory blocks into at least one memory unit having a successive serial number; determining, from the plurality of memory blocks according to a priority of a to-be-transmitted message, a target memory block for storing the to-be-transmitted message; and writing the to-be-transmitted message into a memory unit of the target memory block. This embodiment implements message transmission based on priorities of the messages, and improves the control security of an intelligent control system.

Abstract: The present application discloses a data processing method and apparatus. A specific implementation of the method includes: simultaneously acquiring, by a data processing party, data to be used by a plurality of data receiving parties, and processing the to-be-used data according to processing mode information that is received in advance from each data receiving party and that indicates a processing mode for the to-be-used data, to obtain processed to-be-used data corresponding to the data receiving party; and storing the processed to-be-used data into a storage area corresponding to the data receiving party. An independent data processing party for simultaneously acquiring data that needs to be processed by each data receiving party is provided, so that the data that needs to be processed by each data receiving party is acquired at a time.

Abstract: The present application discloses a data acquisition method and apparatus for a driverless vehicle. The driverless vehicle is provided with a LIDAR sensor and a camera sensor, and the method of an embodiment comprises: acquiring a collection period of the LIDAR sensor as a first period; acquiring a start time of a current time window; executing following data processing steps: executing real-time acquiring and storing operations on data packets collected by the LIDAR sensor and the camera sensor after the start time of the current time window; and determining whether a following condition is met: the first period has elapsed from the start time of the current time window to a current time; setting the start time of the current time window to the current time in response to determining that the condition is met, and continuing executing the data processing steps.

Abstract: A motion compensation method and apparatus applicable to laser point cloud data includes acquiring laser point cloud data of a frame; using an acquisition time of a start point as a target time; interpolating coordinate transformation relations and an end laser point, to obtain coordinate transformation relations of other laser points, and transforming coordinates of the other laser points to the coordinates at the target time. During motion compensation on each frame of laser point cloud data, the coordinate transformation relations corresponding to only the start and end laser points are obtained, and the coordinate transformation relations corresponding to the two points are interpolated to obtain transformation relations corresponding to other laser points, thus performing motion compensation. Therefore, the processing speed is improved and meets high real-time requirements on systems such as autopilot control systems.

Abstract: The present application discloses a data flow processing method and apparatus for a data flow system. A specific implementation of the method includes: acquiring a to-be-processed data flow, and determining, according to a data flow processing instruction, at least one data flow processing node corresponding to the to-be-processed data flow and a passing order in which the to-be-processed data flow passes through the at least one data flow processing node; and connecting together the at least one data flow processing node according to the passing order to obtain a data flow processing channel, and importing the to-be-processed data flow to the data flow processing channel for data processing. This implementation improves the utilization of data flow processing nodes and the data flow processing efficiency.

Abstract: A method and an apparatus for processing laser point cloud data includes obtaining laser point data to be used by a data receiver comprising an acquisition time; determining a timestamp for representing the acquisition time, and splitting the timestamp into a base timestamp and an offset timestamp; and storing the base timestamp and compressed laser point cloud data. Laser point cloud data output by a laser radar is compressed and comprises only offset timestamps corresponding to respective laser points. The base timestamp and the offset timestamp may be added to obtain the required synchronization precision timestamp, and the data is synchronized. The processing speed of a CPU or GPU for the laser point cloud data is improved while the timestamp precision reaches the precision required by synchronization of the laser point cloud data, and storage space is saved.

Abstract: The present application discloses a method and device for establishing communication connection. An embodiment of the method includes: selecting a predetermined number of servers from a server cluster to form a backup server cluster, the server cluster including at least one server adapted to implement a given service; obtaining communication information of each backup server in the backup server cluster, and selecting a backup server from the backup server cluster as a master server based on the communication information of the backup server; and sending the communication information of the master server to controlled equipment controlled by the server cluster to establish communication connection between the master server and the controlled equipment. The embodiment solves a problem of reliability raised when main server abnormally quits or restarts during the operation of a system.

Abstract: Embodiments of the present disclosure provide a method and a coroutine framework for processing parallel tasks, a device, a medium and an unmanned vehicle. The method includes: switching a current coroutine to a target coroutine in response to a task switching instruction, in which, the coroutine is created at a user layer for processing a task, and the coroutine at the user layer is executed by a thread at a kernel layer; and saving context of a task processed by the current coroutine, and reading context of a task processed by the target coroutine, such that the thread at the kernel layer corresponding to the target coroutine processes the task based on the context of the target coroutine when executing the target coroutine.

Abstract: The embodiments of the present disclosure provide a method and a device for implementing read-write lock reentry, a terminal and a storage medium. The method includes: receiving a write lock request of a thread to a target resource; in response to determining that the target resource is in a write-lock-exclusive state, acquiring a historical write-lock thread to the target resource that is in the write-lock-exclusive state; in response to determining that the thread is identical to the historical write-lock thread, adding a new lock of the thread to the target resource.

Abstract: Embodiments of the preset disclosure provide a task scheduling method, an apparatus, an electronic device, and a storage medium. The method comprises traversing tasks in a current queue, and obtaining current values of current state information and a frequency parameter for each task that has been traversed, wherein the frequency parameter is a preset parameter for indicating a scheduled frequency of a corresponding task; selecting a task with the minimum scheduled frequency in the tasks having the current state information indicating an executable state as a target task according to the current values of the current state information and the frequency parameter for each task; and executing the selected target task, and updating the current value of the frequency parameter corresponding to the target task after the target task is executed.

Abstract: The present application discloses a method and an apparatus for processing point cloud data. The method of an embodiment comprises: recognizing an object in a to-be-labeled point cloud frame by using an obstacle recognition algorithm, to obtain a recognition result; presenting the recognition result as an initial labeling result of the point cloud frame; and updating the labeling result in response to a correction operation by a user on the labeling result. According to the embodiment, the speed and accuracy of point cloud data labeling are improved.

Abstract: The present application discloses a data acquiring method and apparatus applied to a driverless vehicle. A specific implementation of the method includes: selecting, from at least one laser radar of the driverless vehicle, a laser radar having a highest importance level as a first laser radar; acquiring a start time of a current time window and executing following data processing steps: executing a real-time acquisition and storage operation on point cloud data packets collected by the each of the at least one laser radar after the start time of the current time window; and determining whether any condition in a group of conditions is satisfied; and setting the start time of the current time window to be the current time and continuing to execute the data processing steps, in response to determining that any of the group of conditions is satisfied. This implementation implements the alignment and storage of point cloud data packets collected by at least one laser radar of the driverless vehicle.

Abstract: The present application discloses a method and an apparatus for processing point cloud data. The method in an embodiment comprises: presenting a to-be-labeled point cloud frame and a camera image formed by photographing an identical scene at an identical moment as the point cloud frame; determining, in response to an operation of selecting an object in the point cloud frame by a user, an area encompassing the selected object in the point cloud frame; projecting the area from the point cloud frame to the camera image, to obtain a projected area in the camera image; and adding a mark in the projected area, for labeling, by the user, the selected object in the point cloud frame according to the mark indicating an object in the camera image. This implementation can assist labeling personnel in rapidly and correctly labeling an object in a point cloud frame.

Abstract: This disclosures discloses a method and apparatus for acquiring data in a robot operating system. A specific implementation of the method includes: monitoring in real time a data storage area of an information acquirer, the information acquirer configured to acquire location state data of a driverless vehicle; obtaining updated data if the updated data are present in the data storage area; and storing the updated data into a data buffer corresponding to the information acquirer. The implementation improves the robustness of the data.

Abstract: The present application discloses a data acquisition method and apparatus for a driverless vehicle. A specific implementation of the method comprises: selecting a sensor having the highest importance level among at least one sensor of the driverless vehicle as a first sensor and at least one sensor other than the first sensor to forma second sensor set; acquiring a start time of a current time window, and executing the following data processing steps: executing real-time acquiring and storing operations on data packets collected by each sensor among the at least one sensor after the start time of the current time window; determining whether any condition in the following condition group is met; and in response to determining that any condition in the condition group is met, setting the start time of the current time window to the current time, and continuing executing the data processing steps.

Abstract: This disclosure discloses a method and apparatus for transmitting data in a robot operating system. The robot operating system includes a transmitting node, a receiving node, and a shared memory as a transmission medium between the transmitting and receiving nodes. The method in a particular embodiment includes: traversing, by the transmitting node, a sequence of data templates stored in advance in the shared memory, and determining whether the respective data templates in the sequence of data templates are currently being written into or read from; identifying a data template in the sequence of data templates currently being neither written into nor read from as a target data template, and obtaining information of the target data template; and writing data into the target data template according to the information of the target data template. This embodiment can improve the performance of transmitting the data while occupying less memory resources.

Abstract: The present application discloses a data transmission method and apparatus. A specific implementation of the method includes: receiving to-be-transmitted data sent from an information sending end, and determining a sending coding type of the to-be-transmitted data; determining a receiving coding type of an information receiving end receiving the to-be-transmitted data; converting the to-be-transmitted data from the sending coding type to the receiving coding type using a preset transcoding model, to obtain transcoded transmission data, the transcoding model representing a corresponding relationship between the sending coding type and the receiving coding type; and sending the transcoded transmission data to the information receiving end. This implementation improves the data transmission efficiency.