Two-wheeled vehicle steering judgment and driving environment target detection strategy

Abstract

The invention provides a two-wheeled vehicle steering judgment and driving environment target detection strategy, the two-wheeled vehicle is provided with four cameras and a low-cost inertial navigation element, the cameras are respectively arranged on the front, back, left and right sides of the two-wheeled vehicle, and the low-cost inertial navigation element is arranged below a pedal of the two-wheeled vehicle. The low-cost inertial navigation element is used for collecting the running motion information of the two-wheeled vehicle; and after data conversion and data smoothing are carried out, a threshold value is adaptively adjusted according to the speed, and the steering state is obtained after multi-axis result data coupling. And starting a camera as required according to a steering judgment result to acquire image data, identifying to obtain vehicle and pedestrian information, and carrying out collision early warning. The advanced auxiliary driving ability of the two-wheeled vehicle is improved, and the probability of traffic accidents during turning of the two-wheeled vehicle is reduced.

Description

technical field [0001] The invention belongs to the technical field of traffic management, and in particular relates to a two-wheeled vehicle steering decision and a driving environment target detection strategy. Background technique [0002] With the rise of industries such as food delivery and express delivery, the utilization rate of two-wheelers in cities has greatly increased. According to statistics from the Ministry of Public Security, one-third of urban traffic accidents are caused by two-wheeled vehicles, and more than half of the fatalities in urban traffic accidents are related to two-wheeled vehicles. In these traffic accidents, the vast majority of accidents occur when two-wheeled vehicles turn, so providing steering judgment and driving environment target detection for two-wheeled vehicles is beneficial to improve the safety and efficiency of road traffic. [0003] Because the precision inertial navigation instrument is expensive, it is generally used in the d...

AI Technical Summary

Problems solved by technology

The document "Design of Driving Behavior and Vehicle Status Monitoring System Based on MEMS and GPS" directly installs the inertial navigation system on the steering wheel of the car to detect the steering, but under different vehicle models and different road conditions, the rotation of the steering wheel cannot truly reflect the steering situation of the vehicle; the document " "Anintegrated land vehicle navigation system based on context awareness" uses the mean value of inertial navigation Z-axis data to detect steering, and the judgment of single-axis data lacks robustness, and misjudgments occur from time to time; the document "A GNSS / INS-integrated system for an arbitrarily mounted land vehicle navigationdevice” uses inertial navigation 3-axis data to judge steering, but it is mainly for large-angle turns

Since the car is equipped with a turn indicator light, its steering has a greater warning of pedestrians on the road than a two-wheeled vehicle, and the simple steering warning cannot make the driver quickly and correctly avoid the vehicle and pedestrians when turning.

[0004] To sum up, in actual traffic roads, due to the lack of rearview mirrors and turn signals on two-wheeled vehicles, there is not only a large visual blind spot when turning, especially when turning right, but also the front and rear vehicles cannot be considered at the same time, which is easy to cause Dangerous, causing traffic accidents, it is imminent to develop a steering judgment and driving environment target detection strategy applied to two-wheeled vehicles

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