Personalized lane changing decision-making method and system for intelligent automobile and medium

Abstract

The invention discloses a personalized lane changing decision method and system for an intelligent automobile and a medium. The method comprises the steps: obtaining the state information of the relative speed and relative distance of surrounding vehicles through a vehicle-mounted sensing device, transmitting the state information to a lane changing intention module to execute the lane changing intention judgment and lane changing feasibility judgment, for all the lane changing schemes, which are obtained according to the judgement results, calculating evaluation indexes to obtain an optimal lane changing scheme, and outputting the optimal lane changing scheme to a control execution module to control the vehicle to execute lane changing. The system comprises a sensor module, a lane changing intention module and an execution module, the determination of a lane changing decision is executed based on the method, and a medium carries a computer program for realizing the method disclosed by the invention. The safe and reliable personalized lane changing decision-making method is provided for the intelligent automobile by learning the driving style of the driver, comprehensively considering the environment around the automobile and personally judging the lane changing intention.

Description

technical field [0001] The invention relates to a method, a system and a medium for intelligent vehicle personalized lane change decision-making, and belongs to the field of vehicle drive decision-making. Background technique [0002] With the vigorous development of the technology of the automobile industry, the traditional vehicles driven by pure means of transportation are gradually changing to the intelligent mobile space, forming a new generation of intelligent vehicles. The "intelligence" of smart cars includes three steps of "perception-decision-making planning-execution". Among them, "decision-making planning" is an important link in the three steps. , according to the received information to formulate operating instructions that meet the specifications, pass the instructions to the planning layer, and hand them over to the control layer for execution, so as to guide the driving of the vehicle. [0003] In the decision-making and planning process of smart cars, the ...

AI Technical Summary

Problems solved by technology

[0004] However, the lane-changing decisions in existing smart cars are all based on fixed rules, without taking into account the differences between individual drivers, that is, in the actual driving process, different drivers have different driving styles. For example, in the conditions of lane keeping and lane switching, the more aggressive drivers have a shorter following distance and the lane changing process is more compact, while the conservative drivers will maintain a larger following distance, and in Select the vehicle to make a smooth transition between two lanes when performing a lane change

Therefore, the traditional lane-changing decision based on fixed rules cannot well adapt to the needs of different drivers, thus bringing corresponding hidden dangers

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