Vehicle-mounted multi-source high-speed data acquisition method and system

Abstract

The invention discloses a vehicle-mounted multi-source high-speed data acquisition method and system, and the method comprises the steps: data acquisition configuration: configuring a sensor source, and distributing a storage identifier; creating a basic acquisition process, and creating a basic acquisition thread for each sensor; intermediate data processing: processing the basic data transmitted by the sensor source, and publishing the result data of each basic data processing in a broadcast mode; and storing the data, forming a storage strategy allocation thread according to the acquisition strategy allocated by the sensor source and the specified acquisition parameters, and writing the corresponding data into a storage medium according to the storage strategy allocation thread. The system is used for implementing the method. The method and system has the advantages of being simple in principle, wide in application range, good in data acquisition effect, high in analysis processing capacity and the like.

Description

technical field [0001] The invention mainly relates to the technical field of unmanned autonomous mobile equipment, in particular to a vehicle-mounted multi-source high-speed data acquisition method and system. Background technique [0002] For unmanned autonomous mobile devices, environmental perception in its application scenarios is one of the most critical technologies, which determines that unmanned autonomous mobile devices can normally complete specific tasks in application scenarios. Unmanned autonomous mobile devices include unmanned vehicles, autonomous AGVs, autonomously moving robots, and more. [0003] Taking unmanned autonomous vehicles as an example, the normal driving of unmanned autonomous vehicles usually uses sensors such as cameras and radars as the basic perception modules for perceiving the environment. In addition to basic perception functions, the smooth driving of autonomous vehicles also relies on the collaboration of basic functional modules such ...

AI Technical Summary

Problems solved by technology

However, there are still some shortcomings in this scheme: first, the storage target of this scheme does not include the original real-time perception data, and the original perception equipment usually produces high-speed data, so the scheme does not actually have the ability to process real-time high-speed data; secondly, the The solution removes outliers from the data before returning the data, which loses the integrity description of the data and makes it impossible to conduct in-depth tracking of vehicle problems

However, the storage target of this technical solution is only for environmental data, and the data collected is of a single type, lacking the collection of internal system data at the vehicle end, so that it is impossible to locate and analyze the problems caused by the internal parameters of the vehicle and the real-time status of the vehicle in the future.

Images