Assessment method and system for environmental modeling capability of autonomous driving vehicle

Abstract

The embodiment of the invention provides an assessment method and system for environmental modeling capability of an autonomous driving vehicle, and belongs to the field of intelligent traffic. The method comprises the following steps: constructing a polygon capability chart for the environmental modeling capability, wherein each vertex is configured to represent one level; acquiring entity attribute information of a plurality of entities associated with environmental modeling in each level; determining the importance degrees of corresponding entities for the vehicle driving safety in conjunction with the entity attribute information, and allocating a weight to each entity according to the importance degrees; acquiring the accuracy of a vehicle-mounted sensing system in correctly detectingeach entity; calculating the total weight score of each level in conjunction with the accuracies and the weights; and displaying the total weight scores in the polygon capability chart in order to form an environmental modeling capability chart. Through adoption of the assessment method and system, the environmental modeling capability chart of the vehicle based on a plurality of levels can be obtained, and the environmental modeling score of each level can be determined to be compared with the environmental modeling capabilities of other versions of vehicles and competitive vehicles.

Description

technical field [0001] The invention relates to the field of intelligent transportation, in particular to a method and system for evaluating the environment modeling capability of an autonomous vehicle. Background technique [0002] At present, the autonomous driving system (ADS) of self-driving vehicles can be divided into five parts: environment perception, data fusion, decision-making system, control system, and execution system. Among them, environmental perception refers to the extraction of vehicle current driving environment information such as vehicles, pedestrians, roads, and traffic signs through the on-board sensing system, and the transmission of the extracted information to other systems to achieve automatic driving path planning and vehicle behavior control. [0003] Therefore, it can be seen that environmental perception is the information basis of ADS. The important requirement for autonomous driving safety at this stage is how to make autonomous driving vehi...

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Problems solved by technology

[0004] However, there is a lack of evaluation of the environmental modeling capabilities of autonomous vehicles in the prior art, so that the final environmental models do not meet the requirements of "accurate" and "stable", and even some environmental models can only perform a single analysis of the environment. The description of one or very few aspects is not enough to support vehicle driving planning

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