AEB strategy method based on 5G hierarchical decision

Abstract

The invention discloses an AEB strategy method based on 5G hierarchical decision, and the method comprises the steps: transmitting vehicle data and sensor equipment data to an edge cloud server through the characteristics of low time delay and high reliability of 5G, arranging an AEB decision algorithm in the server based on a hierarchical decision architecture, and carrying out the operation through the strong calculation capability of the server. Self-learning and iteration of programs can be achieved while data of multiple vehicles and sensors are collected, the more vehicles access the server, the larger the data size is, the more perfect the algorithm is, information of different obstacles can be obtained in advance in combination with a multi-dimensional space-time diagram constructed by roadside equipment, the sensing range is enlarged, and according to real-time data of each vehicle, vehicle control parameters can be rapidly transmitted, the control quantity is issued to the vehicle through a 5G network, and the efficient and safe vehicle AEB function is achieved. According to the invention, the cost of a single vehicle is reduced, an AEB control data source is added, the accident rate is reduced, and the development of the networked automatic driving industry is promoted.

Description

technical field [0001] The present invention relates to the technical field of active safety control, in particular to an AEB policy method based on 5G hierarchical decision-making. Background technique [0002] The AEB control system is an active safety control technology for vehicles. At present, this technology is mainly composed of vehicle mechanical braking system, sensor detection equipment, vehicle controller equipment and AEB algorithm strategy. After analyzing the existing patents, it is found that the existing technologies mainly include: The following directions: [0003] 1. According to the vehicle-to-vehicle communication method as the input source of obstacle information, the safety of the AEB system is improved. For example, the CN104139781B patent proposes to sense other vehicle information through V2V equipment, and according to the estimated braking distance of the vehicle in front and the estimated braking distance of the own vehicle Calculation of brakin...

AI Technical Summary

Problems solved by technology

[0006] In the methods of existing patents, there are generally problems such as limited sensing range of sensors, limited capabilities of vehicle computing equipment, limited data sources, high cost, or algorithms that cannot achieve efficient self-learning iterations

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