Automatic driving test case generation method based on scenes and tasks

A test case generation and automatic driving technology, which is applied in the field of software engineering and automatic driving, can solve the problems of complex data information and difficult conversion into test cases, and achieve the goal of reducing complexity, improving efficiency and coverage, and simplifying the process Effect

Active Publication Date: 2019-12-20
HUNAN UNIV
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  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

In addition, the data information contained in the model is relatively complex, and it is not easy to convert it into test cases

Method used

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  • Automatic driving test case generation method based on scenes and tasks
  • Automatic driving test case generation method based on scenes and tasks
  • Automatic driving test case generation method based on scenes and tasks

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Embodiment Construction

[0027] Embodiments of the present invention will be further described below in conjunction with specific drawings.

[0028] A method for generating test cases for autonomous driving based on scenarios and tasks proposed by the present invention aims to formally test traffic scenarios for autonomous driving, and generate structured test cases through different combinations of task sets and scene elements, focusing on testing automatic driving. The driver's comprehensive cognitive ability to traffic infrastructure, safe passage ability in complex traffic environment, and coordination ability with other traffic participants.

[0029] Scenario and task-based autonomous driving test case generation methods include: in complex and diverse road traffic scenarios, select typical traffic behaviors and build a test task library; define the terms of traffic scenarios and their related elements, and describe the concepts and attributes of scenario elements , hierarchical relationship, and...

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Abstract

The invention provides an automobile automatic driving test case generation method based on scenes and tasks, and the method comprises the following steps: 1), selecting typical traffic behaviors in acomplex and multi-element road traffic scene, and constructing a test task library; 2) defining terms of a traffic scene and related elements thereof, describing concepts, attributes and hierarchicalrelationships of scene elements, and constructing an ontology model of the road traffic scene; 3) generating a traffic scene based on the traffic scene model and the traffic behavior task library, the traffic scene being generally composed of a plurality of traffic participants, a specific time-space road environment and a traffic scene, and generally including a plurality of driving tasks; and 4) further describing a traffic scene in detail by defining a parameter range and correlation of variables in the state space, and selecting representative discrete values for combination by applying boundary value analysis, equivalence class division and other methods in software testing to generate a plurality of test cases.

Description

technical field [0001] The technical field of the present invention is the technical field of automatic driving, relates to the field of software engineering, and specifically relates to a method for generating automatic driving test cases based on scenarios and tasks. Background technique [0002] Autonomous driving is an important way to improve traffic throughput and safety. It relies on the cooperation of artificial intelligence, visual computing, radar, and global positioning systems to automatically, safely, and smoothly control the movement of vehicles, and this technology is becoming a reality. An automatic driving system can usually be described as a highly autonomous, environment-interactive, and complex system collection. It is particularly important to ensure the reliability and safety of its road driving, but there is little work on the testing and verification of automatic driving. . At present, the safety testing of automatic driving functions at home and abr...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F11/36
CPCG06F11/3684G06F11/3664
Inventor 李军义阮家炜
Owner HUNAN UNIV
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