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Vehicle lane changing behavior identification method based on random forest algorithm

A technology of random forest algorithm and recognition method, which is applied in character and pattern recognition, calculation, computer parts, etc., can solve problems such as difficulty in performing functions, large amount of calculation for trajectory prediction, high accuracy of vehicle motion state information, etc., and achieve processing speed Faster, safer, and more accurate predictions

Pending Publication Date: 2021-03-26
浙江天行健智能科技有限公司
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This method needs to obtain the relevant information of the road surface structure, and requires high accuracy of the vehicle motion state information, and the calculation of the trajectory prediction is large. When the road structure is temporarily unknown and the vehicle motion state information is incomplete, it is difficult to function.

Method used

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  • Vehicle lane changing behavior identification method based on random forest algorithm

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Embodiment 1

[0034] Please combine figure 1 , which represents a flow chart of the steps of the vehicle lane change recognition method based on the random forest algorithm according to the present invention. Specifically, it includes modeling steps S1-S5 and a recognition step S6 of predicting using a lane-changing behavior recognition model. Each step of a method for identifying a lane-changing behavior of a vehicle based on a random forest algorithm provided in this embodiment will be described in detail below.

[0035] S1. Conduct experiments and collect data:

[0036] Carry out the driver-in-the-loop real-time simulation test based on the simulated driver and collect the test data, and conduct the simulated driving test by multiple drivers. In this embodiment, in the simulated driving test, a 1:1 three-dimensional model of urban roads and expressways is used, and random traffic conditions are set, such as passers-by crossing the road, emergency braking of vehicles ahead, etc. The nu...

Embodiment 2

[0050] In this embodiment, the number of drivers for the simulated driving test is 80, and each driver performs two simulated driving tests; the first test lasts for each driver for 75 minutes, and the second test lasts for 20 minutes. The remaining steps are the same as in Embodiment 1.

Embodiment 3

[0052] In this embodiment, the number of drivers for the simulated driving test is 100, and each driver performs two simulated driving tests; each driver's first test lasts 90 minutes, and the second test lasts 30 minutes. The remaining steps are the same as in Embodiment 1.

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Abstract

The invention discloses a vehicle lane changing behavior recognition method based on a random forest algorithm. The method comprises the steps: acquiring a lane changing action signal of a vehicle anddata of roads around the vehicle; inputting the vehicle surrounding road data into a vehicle lane change behavior recognition model based on a random forest algorithm, and obtaining a predicted lanechange intention calculated by the vehicle lane change behavior recognition model; when the actual lane changing intention corresponding to the lane changing action signal of the vehicle is inconsistent with the predicted lane changing intention, enabling the vehicle control system to send out a danger warning; wherein the vehicle lane changing behavior recognition model based on the random forestalgorithm is obtained by training through a random forest classification algorithm after a plurality of drivers perform simulation tests in a simulation driver to acquire test data. The model adoptedby the invention is convenient in data acquisition and low in modeling cost, the lane changing intention of the vehicle can be identified with high accuracy, the safety of the vehicle is improved, and the defects of the prior art are overcome to a certain extent.

Description

technical field [0001] The invention relates to the technical field of driving behavior recognition for an assisted driving system, in particular to a method for recognizing vehicle lane-changing behavior based on a random forest algorithm. Background technique [0002] With the development of computer technology, especially artificial intelligence technology, it has become possible to use intelligent means to assist drivers in judging dangerous behaviors. Before fully unmanned driving technology matures, assisted driving will be the main direction of car intelligence for a long time. As the number of cars in my country increases year by year, the total amount of loss of life or property due to irregular driving by drivers is also on the rise. Among them, the number of traffic accidents caused by irregular lane changes by drivers is also high. Therefore, it is necessary to develop a vehicle lane-changing behavior recognition method that can accurately judge whether the driv...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06K9/00G06K9/62G06F30/27G06F111/18
CPCG06F30/27G06F2111/18G06V20/588G06V20/584G06F18/24323
Inventor 蔡锦康赵蕊邓伟文丁娟
Owner 浙江天行健智能科技有限公司
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