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Road event detection method based on Doppler radar and Bayesian network

A Doppler radar and Bayesian network technology, applied in the field of road incident detection based on Doppler radar and Bayesian network, can solve the problems of large camera error, failure to work, and difficult rule judgment, etc., and achieve low cost , high precision effect

Active Publication Date: 2018-02-02
天津智芯视界科技有限公司
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AI Technical Summary

Problems solved by technology

Video detection has a relatively wide detection range, can detect a variety of events, is low in cost, and is relatively simple to maintain. However, due to interference from adverse weather, light changes, camera shake, etc., the camera may have large errors or even fail to work. Judgment of the rules will cause great difficulties

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  • Road event detection method based on Doppler radar and Bayesian network
  • Road event detection method based on Doppler radar and Bayesian network
  • Road event detection method based on Doppler radar and Bayesian network

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Embodiment

[0021] The road event detection method based on Doppler radar and Bayesian network that the present invention proposes comprises the following steps:

[0022] S1. Use Doppler radar to monitor the road, acquire radar data and process it, subtract the FFT threshold from the corresponding threshold, if it is less than zero, set it to 0, otherwise set it to the value after subtraction;

[0023] S2. Initialize all items of array A and array B to 0; for the convenience of explanation, only array A and array B are considered in the following, because the radar may be affected by noise, that is, a certain phenomenon that may appear when there is no moving object A sudden increase in the FFT threshold gives a false signal, so a window function containing three items of 1 is used to slide over the array A and multiplied by the corresponding item. Only when the three items are greater than 0, the FFT speed at this time is considered real. , and return the subscript corresponding to the m...

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Abstract

The invention discloses a road event detection method based on a Doppler radar and a Bayesian network. The road event detection method comprises the steps of: monitoring a road by means of the Dopplerradar, and acquiring and processing radar data; acquiring an FFT speed, and acquiring a radar detection speed; calculating a transition probability, so as to obtain each random process at the same moment; constructing a state transition network by acquiring radar data of a vehicle under different conditions in a time period; and acquiring a shortest path of each random process at the same moment,calculating a state transition probability of each random process at the same moment so as to obtain a most likely situation, and sending out early warning. The road event detection method based on the Doppler radar and the Bayesian network is not affected by interference of weather, illumination, jitter and the like, has the advantages of low cost and high precision, and can assist the camera tocarry out intelligent event detection under unfavorable conditions.

Description

technical field [0001] The invention relates to the technical field of intelligent transportation, in particular to a road event detection method based on Doppler radar and a Bayesian network. Background technique [0002] In recent years, with the continuous increase of traffic volume, the problem of traffic congestion has become increasingly prominent. The traffic accidents (including traffic accidents) on the road are gradually increasing, which brings great inconvenience to people's daily travel, and even threatens people's lives and property. At the same time, the traffic incidents also reduce the transport efficiency of the road and the average speed of the vehicle, which seriously affects the operation of the road. Therefore, once a traffic incident occurs on the road, it is necessary to quickly discover the incident and make a response to reduce the harm caused by the incident as much as possible. Traffic incident detection refers to the use of various detection me...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/01G08G1/052
CPCG08G1/0116G08G1/0125G08G1/052
Inventor 饶晓春于泽张玉玺方正鹏
Owner 天津智芯视界科技有限公司
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