Traffic event sensing method based on millimeter-wave radar data

Abstract

The invention discloses a traffic event sensing method based on millimeter-wave radar data, wherein the method comprises the following steps: obtaining trajectory data collected by a millimeter-wave radar, and cleaning the trajectory data through a time data cleaner, a speed data cleaner and a coordinate data cleaner; eliminating wrong and abnormal data to obtain trajectory data fields of the vehicles, wherein the trajectory data fields comprise timestamps, position coordinates, speeds, acceleration coordinate components and vehicle categories; storing the trajectory data of the vehicles of different categories into different trackers; and judging the traffic events and recording the types, the number and the starting and ending time of various events in a current detection area. Accordingto the invention, the millimeter-wave radar is used for sensing the traffic events, the method is more stable and has strong adaptability, the performance of data acquisition is improved, the cost isrelatively low, the detection events are carried out based on the obtained cleaned data, and the sensing method has the characteristics of high efficiency and wide acquisition range.

Description

technical field [0001] The invention belongs to the technical field of intelligent traffic data processing, and in particular relates to a traffic event perception method based on millimeter wave radar data. Background technique [0002] As a means of collecting traffic data, millimeter-wave radar is widely used in the traffic field, and is gradually used in vehicle collision avoidance detection, driverless driving, traffic data collection and other fields. Vehicle traffic event collection is one of the important data for detecting vehicle operating conditions, an important quantitative index for evaluating road safety, and an important basis for improving vehicle safety. In the past, the video all-road domain perception system that appeared in the past, because it uses video data for analysis, will be greatly affected by the environment, so it is difficult to effectively extract some specific traffic data, such as the operation of vehicles in low visibility conditions, and ...

AI Technical Summary

Problems solved by technology

In the past, the video all-road domain perception system that appeared in the past, because it uses video data for analysis, will be greatly affected by the environment, so it is difficult to effectively extract some specific traffic data, such as the operation of vehicles in low visibility conditions, and at the same time The stability of equipment operation also needs to be improved

In the past, some other traffic event perception has not yet realized a complete set of technologies. Usually, only a few fragments of traffic events at the collection points can be collected, and it is impossible to make a reasonable judgment on the overall road safety situation, so it is difficult to improve road vehicles more effectively. operational safety and efficiency

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