遇见数据集

DriveTester Evaluation Scenarios

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arXiv2025-09-30 收录
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资源简介:

该数据集涵盖了两种广泛使用的场景:左转和交叉路口,以评估DriveTester在识别违规行为方面的有效性。DriveTester融合了各种最先进的自动驾驶系统测试技术,并提供了一致的测试环境。该数据集的规模涉及两个场景的测试,其任务是利用仿真场景来评估自动驾驶系统测试工具的有效性。

This dataset covers two widely adopted scenarios: left turns and intersections, aimed at evaluating the effectiveness of DriveTester in detecting traffic violations. DriveTester integrates a suite of state-of-the-art autonomous driving system testing technologies and provides a consistent testing environment. This dataset involves testing across these two scenarios, with its core objective being to assess the effectiveness of autonomous driving system testing tools via simulated scenarios.

提供机构:
Mingfei Cheng et al.
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