Abstract: This application provides a data processing method and apparatus and a storage medium. The data processing method includes: obtaining K idle calculation blocks in real time, where K is greater than or equal to 1; invoking first K pieces of detected data from a cache stack in a preset priority sequence of detected data, and inputting the detected data into the K idle calculation blocks; sequentially processing K pieces of detected data on the K idle calculation blocks in the preset priority sequence; and integrating sensing calculation results of the K pieces of detected data in real time based on a boundary relationship between detection ranges of the K pieces of detected data, and outputting a sensing result.

Abstract: This application provides a data processing method and apparatus and a storage medium. The data processing method includes: obtaining K idle calculation blocks in real time, where K is greater than or equal to 1; invoking first K pieces of detected data from a cache stack in a preset priority sequence of detected data, and inputting the detected data into the K idle calculation blocks; sequentially processing K pieces of detected data on the K idle calculation blocks in the preset priority sequence; and integrating sensing calculation results of the K pieces of detected data in real time based on a boundary relationship between detection ranges of the K pieces of detected data, and outputting a sensing result.

Abstract: This application provides an obstacle detection method and apparatus and a storage medium, where the method includes: obtaining point cloud data in an Nth detection sub-range of LiDAR in a preset sequence, wherein a detection range of the LiDAR in a detection cycle includes M detection sub-ranges, the Nth detection sub-range is any one of the M detection sub-ranges, M is an integer greater than or equal to 2, and N is an integer less than or equal to M; calculating confidence that the Nth detection sub-range includes a preset target object based on the obtained point cloud data in the Nth detection sub-range; and if the confidence is greater than or equal to the preset threshold, output an identification result of the preset target object. In the obstacle detection method provided in this application, real-time performance for detecting an obstacle by LiDAR is improved.

Abstract: This application provides an obstacle detection method and apparatus and a storage medium, where the method includes: obtaining point cloud data in an Nth detection sub-range of LiDAR in a preset sequence, wherein a detection range of the LiDAR in a detection cycle includes M detection sub-ranges, the Nth detection sub-range is any one of the M detection sub-ranges, M is an integer greater than or equal to 2, and N is an integer less than or equal to M; calculating confidence that the Nth detection sub-range includes a preset target object based on the obtained point cloud data in the Nth detection sub-range; and if the confidence is greater than or equal to the preset threshold, output an identification result of the preset target object. In the obstacle detection method provided in this application, real-time performance for detecting an obstacle by LiDAR is improved.