CRAG – a combinatorial testing-based generator of road geometries for ADS testing

IF 1.5 4区计算机科学 Q3 COMPUTER SCIENCE, SOFTWARE ENGINEERING

Science of Computer Programming Pub Date : 2024-07-08 DOI:10.1016/j.scico.2024.103171

Paolo Arcaini , Ahmet Cetinkaya

引用次数: 0

Abstract

Simulation-based testing of autonomous driving systems (ADS) consists in finding scenarios in which the ADS misbehaves, e.g., it leads the car to drive off the road. The road geometry is an important feature of the scenario, as it has a direct impact on the ADS, e.g., its ability to keep the car inside the driving lane. In this paper, we present CRAG, a road generator for ADS testing. CRAG uses combinatorial testing to explore high level road configurations, and search for finding concrete road geometries in these configurations. CRAG has been designed in a way that it can be easily extended in terms of generator of combinatorial test suites, search algorithms, and test goals.

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CRAG - 用于 ADS 测试的基于组合测试的道路几何生成器

基于仿真的自动驾驶系统（ADS）测试包括寻找自动驾驶系统发生错误行为的场景，例如导致汽车驶离道路。道路的几何形状是场景的一个重要特征，因为它对自动驾驶系统有直接影响，例如，自动驾驶系统将汽车保持在行驶车道内的能力。在本文中，我们介绍了用于 ADS 测试的道路生成器 CRAG。CRAG 使用组合测试来探索高级道路配置，并在这些配置中寻找具体的道路几何形状。CRAG 的设计方式使其可以在组合测试套件生成器、搜索算法和测试目标方面轻松扩展。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Science of Computer Programming 工程技术-计算机：软件工程

CiteScore

3.80

自引率

0.00%

发文量

审稿时长

67 days

期刊介绍： Science of Computer Programming is dedicated to the distribution of research results in the areas of software systems development, use and maintenance, including the software aspects of hardware design. The journal has a wide scope ranging from the many facets of methodological foundations to the details of technical issues andthe aspects of industrial practice. The subjects of interest to SCP cover the entire spectrum of methods for the entire life cycle of software systems, including • Requirements, specification, design, validation, verification, coding, testing, maintenance, metrics and renovation of software; • Design, implementation and evaluation of programming languages; • Programming environments, development tools, visualisation and animation; • Management of the development process; • Human factors in software, software for social interaction, software for social computing; • Cyber physical systems, and software for the interaction between the physical and the machine; • Software aspects of infrastructure services, system administration, and network management.