HiDrive: A Closed-Loop Benchmark for High-Level Autonomous Driving
End-to-end autonomous driving has witnessed rapid progress, yet existing benchmarks are increasingly saturated, with state-of-the-art models achieving near-perfect scores on widely used open-loop and closed-loop benchmarks. This saturation does not mean that the problem has been solved; instead, it reveals that current benchmarks remain limited in scenario diversity, object variety, and the breadth of driving capabilities they evaluate. In particular, they lack sufficient long-tail scenarios involving rare but safety-critical objects and fail to assess advanced decision-making such as legal compliance, ethical reasoning, and emergency response. To address these gaps, we propose HiDrive, a...
| Authors | Zhongyu Xia, Guanyu Zhu, Guo Tang et al. |
|---|---|
| Primary category | cs.RO |
| Published | 11 May 2026 |
| Last updated at source | 11 May 2026 |
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