SMARTS 2.0 Benchmark
收藏arXiv2025-09-30 收录
下载链接：
https://github.com/huawei-noah/SMARTS
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资源简介：
该数据集是一个新颖的基准测试套件，旨在评估多种具有挑战性的场景中，包括互动和自适应驾驶情况下的规划算法。该基准测试通过综合交通参与者、智能体以及道路网络边缘等指标，对在不同交通模式下场景中的规划算法进行评估。它是一个大规模的模拟，包含了多种交通模式和道路结构。该数据集的任务是评估在自动驾驶场景模拟中的运动规划算法。
This dataset is a novel benchmark suite dedicated to evaluating planning algorithms across various challenging scenarios, including interactive and adaptive driving situations. It assesses planning algorithms in scenarios under different traffic modes by integrating metrics such as traffic participants, intelligent agents, and road network edge characteristics. As a large-scale simulation, it encompasses multiple traffic patterns and road structures. The core task of this dataset is to evaluate motion planning algorithms in autonomous driving scenario simulations.
提供机构：
SMARTS Team
