Autonomous Driving System (ADS) Testing Scenarios
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/uDEVOPS2020/Replication-package-Reasoning-Based-Software-Testing
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资源简介：
该数据集包含了与驾驶条件相关的16个分类变量定义的测试场景，以及一个表示与其他车辆最小距离的输出变量。其目标是识别安全违规行为。此外，该数据集被用于评估RBST方法在生成用于测试自动驾驶系统关键场景的有效性。该数据集的规模为100个随机生成的测试，任务是对自动驾驶系统进行安全违规检测。
This dataset comprises test scenarios defined by 16 categorical variables related to driving conditions, alongside an output variable representing the minimum distance to other vehicles. Its primary objective is to identify safety violations. Furthermore, this dataset is utilized to evaluate the effectiveness of the RBST method in generating critical scenarios for autonomous driving system testing. The dataset consists of 100 randomly generated test cases, with the specific task being safety violation detection for autonomous driving systems.
提供机构：
Replication package available at GitHub
