Vehicle Trajectory Prediction and Collision Warning Method Based on High Frequency and High Precision Positioning Information

Abstract

The invention relates to a vehicle track prediction and collision warning method based on high-frequency and high-precision positioning information. The vehicle-mounted positioning device collects real-time positioning information with a frequency of 5 Hz and a centimeter-level precision, and according to the vehicle position at multiple points at adjacent times, The speed and direction angle information is used to fit the vehicle trajectory, predict the vehicle position at the target time, and judge whether there is a risk of collision between the vehicle and the adjacent vehicle at the target time if the vehicle is still driving at the current speed and direction angle according to the contour conflict method. Compared with the traditional method of vehicle-vehicle distance judgment and collision warning through on-board sensors, the method proposed by the present invention can effectively avoid the failure of collision warning caused by high vehicle speed, bad weather, and poor line of sight conditions; it has a simple algorithm , low cost, and easy to promote.

Description

technical field [0001] The invention relates to the technical field of high-intelligence assisted driving of vehicles, in particular to a vehicle trajectory prediction and collision warning method based on high-frequency and high-precision positioning information. Background technique [0002] With the vigorous development of highway construction and the rapid expansion of car ownership, the traffic safety situation is facing unprecedented challenges. The traffic system is a complex system composed of people, vehicles, roads, and the environment, but among these four elements, "people" is the most important factor leading to road traffic accidents. According to the investigation and research on the causes of traffic accidents by Indiana University in the United States, 85% of traffic accidents are directly related to the driver himself and his behavioral characteristics. Another study shows that if the driver can perceive the danger 1 second in advance and take preventive m...

AI Technical Summary

Problems solved by technology

However, this type of method has the following disadvantages: First, all kinds of sensors have applicable conditions, such as high vehicle speed, bad weather such as rain and fog, poor line of sight conditions caused by small turning radius of the road, etc., will recognize the sensor The accuracy of the distance is affected; second, to achieve a more accurate distance judgment, it is necessary to install a variety of sensors to cooperate with each other, and the data fusion algorithm is complex, so the cost is too high and the promotion is difficult

However, based on this method for vehicle collision avoidance warning, there are few studies at home and abroad.

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