Vehicle environment perceiving and controlling method based on cloud machine learning

Abstract

The invention relates to a vehicle environment perceiving and controlling method based on cloud machine learning. The method comprises the steps that A1, image data of dead zones of the front portion, the rear portion and behind the left side and the right side of a vehicle, and millimeter wave radar data of a barrier in the area in front of the vehicle are collected; A2, character vector sets of the image data are extracted, and the distance between the barrier in front of the vehicle and the vehicle is obtained by processing the millimeter wave radar data of the barrier; A3, machine learning is conducted on all the character vector sets, and barriers on the front side, the rear side, the left side and the right side are recognized; A4, target tracking is conducted, and environment perceiving data of a target and current state data of the vehicle are obtained; A5, the safe distance is worked out, and active vehicle safety control is executed correspondingly; and A6, the environment perceiving data of the target are uploaded to a cloud service system for learning, and finally target recognition parameter sets and algorithm control parameter sets are upgraded. By the adoption of the vehicle environment perceiving and controlling method, the accuracy of environment perceiving, the vehicle control precision and measurement distance are effectively improved, and the performance of an active vehicle safety system is improved integrally.

Description

technical field [0001] The invention relates to the technical field of vehicle active safety, in particular to a vehicle environment perception and control method using cloud big data learning. Background technique [0002] With the development of the automobile industry, more and more attention has been paid to the safety of vehicles. Due to the existence of many types of safety hazards such as high speed, side view blind spots, and rear-end collisions, collision accidents often occur. Therefore, in order to avoid vehicle collision accidents as much as possible, vehicle environment awareness and active safety have become urgent problems to be solved. [0003] The purpose of the vehicle environment perception and control system is to perceive the surrounding environment data of the vehicle through various sensors such as visual sensors, radar sensors, ultrasonic sensors, etc., such as: static and dynamic obstacles in front of the vehicle, moving objects in the blind spots on...

AI Technical Summary

Problems solved by technology

[0009] The purpose of the present invention is to propose a vehicle environment perception and control method based on cloud machine learning to solve the problems caused by the short vehicle environment perception detection distance and the inability to update the environment perception parameters and control parameters in the existing automobile active safety technology. Insufficient environmental perception accuracy and vehicle control precision

Images