Data processing method and device, electronic equipment and readable storage medium

Abstract

The embodiment of the invention provides a data processing method and device, electronic equipment and a readable storage medium. The method comprises the following steps: receiving first point cloud data from a laser radar; determining relative position information of the laser radar and a vehicle equipped with the laser radar; determining target point cloud data according to the first point cloud data and relative position information of the laser radar and the vehicle, wherein the target point cloud data comprises first position information of each point cloud point in the first point cloud data relative to the vehicle; and performing data rendering processing on the target point cloud data to obtain a target video slice and storing the target video slice. According to the embodiment of the invention, the processing efficiency of the point cloud data collected by the laser radar installed in the autonomous vehicle can be improved, the playing time delay of the point cloud data and the performance requirement on the client are reduced, the flexibility and real-time performance of downloading and playing the point cloud data by the client are improved, and the environment information around the automatic driving vehicle can be sensed in real time.

Description

technical field [0001] The embodiments of the present disclosure relate to the technical field of computer processing, and in particular, to a data processing method, device, electronic equipment, and readable storage medium. Background technique [0002] Lidar is one of the commonly used sensors in autonomous driving technology and plays an important role in perception, positioning, planning and decision-making. Lidar can be divided into single-line lidar and multi-line lidar according to the wiring harness. Among them, the common multi-line lidars are 4-line lidar, 16-line lidar, 32-line lidar and 64-line lidar. Depending on the wire harness, the size of a frame of point cloud data generated by the lidar (all data collected by the lidar rotating 360°) is also different. [0003] Taking the field of unmanned driving as an example, unmanned driving equipment usually installs a 32-line or 64-line lidar directly in front, and a lidar with fewer wiring harnesses is installed ...

AI Technical Summary

Problems solved by technology

Due to the large amount of lidar data, data download is time-consuming, and when playing lidar data, it is necessary to wait for all the data to be downloaded before playing, which increases the playback delay of lidar data

In addition, because the data processing process involves a large amount of data calculations, it has high requirements on the performance of the client. It is often difficult for ordinary clients to meet the data processing requirements of lidar, and the data processing efficiency is low.

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