Data processing method and device, storage medium and client

Abstract

The embodiment of the invention provides a data processing method and device, a storage medium and a client. The method comprises the following steps: judging whether the data volume of target data is greater than the capacity of an allocated memory block or not; if it is judged that the data size of the target data is larger than the capacity of the memory block, selecting data with the capacity equal to that of the memory block from the target data through the memory block to be subjected to specified operation processing, continuing to execute the step of judging whether the data volume of the target data is greater than the capacity of the allocated memory block or not aiming at the residual target data; and if it is judged that the data volume of the target data is smaller than or equal to the capacity of the memory block, performing specified operation processing on the target data through the memory block. The embodiment of the invention improves the success rate of data processing.

Description

【Technical field】 [0001] The present invention relates to the field of computer technology, in particular to a data processing method, device, storage medium and client. 【Background technique】 [0002] Simultaneous Localization and Mapping (SLAM) technology refers to placing the robot in an unknown environment, starting from an unknown position to construct an incremental map of the environment, and using the constructed map for autonomous positioning and mapping. navigation. SLAM technology can enable robots to achieve true autonomous navigation. [0003] When building a map through SLAM technology, due to the need to ensure the accuracy of the map, the amount of map outline data usually obtained is large, so the memory required during the map building process is also large. When the memory capacity of the client is insufficient and the data volume of the map outline data is too large, the client cannot meet the required capacity of memory during the map building process,...

AI Technical Summary

Problems solved by technology

When the memory capacity of the client is insufficient and the data volume of the map outline data is too large, the client cannot meet the required capacity of memory during the map building process, resulting in map building failure

[0004] To sum up, when the amount of target data to be processed is large, for example, the amount of map outline data is too large, and the memory capacity of the client is insufficient, the client cannot complete the processing of the target data through the memory, resulting in Data processing failed

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