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PPR-2106.11810 Paper

nuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles

id
updated
type paper
title nuPlan: A closed-loop ML-based planning benchmark for autonomous vehicles
authors Holger Caesar, Juraj Kabzan, K. Tan, Whye Kit Fong, Eric M. Wolff, A. Lang, L. Fletcher, Oscar Beijbom, Sammy Omari
venue arXiv 2021
arxiv 2106.11810
tier 0
lifecycle EXTRACTED
epistemic n/a
ingested 2026-09-03
version arXiv:2106.11810
source-hash sha256:0000000000000000000000000000000000000000000000000000000000000000
admitted-under A2-direct-edge
admission-note G2DP 引用本工作作为其主评测基准——nuPlan(Caesar et al.)的闭环 Val14 / Test14 / Test14-hard 非反应与反应双模式主实验均在此进行。
citation-count-s2 659

面向自动驾驶的闭环机器学习规划基准(Caesar et al.):提供大规模真实城市数据集与标准化的非反应/反应两档评测协议。

与 G2DP 的关系(PPR-2606.26017:G2DP 引用本工作作为其主评测基准——nuPlan(Caesar et al.)的闭环 Val14 / Test14 / Test14-hard 非反应与反应双模式主实验均在此进行。

关联(10)

  • PPR-2211.15654 OpenScene: 3D Scene Understanding with Open Vocabularies
  • PPR-2606.26017 G2DP: Diffusion Planning with Spatio-Temporal Grid Guidance
  • BMK-003 “nuPlan closed-loop planning benchmark (Val14 / Test14 / Test14-hard)”
  • DAT-001 OpenScene — nuPlan 传感器数据的紧凑再分发(OpenDriveLab)
  • DAT-002 nuPlan v1.1 原生数据分发(nuscenes.org,20Hz .db)
  • COD-001 nuplan-devkit — nuPlan 官方开发套件(数据集/闭环模拟/指标实现)
  • CPT-014 Average Displacement Error (ADE)
  • CPT-015 Final Displacement Error (FDE)
  • CPT-016 Miss Rate (MR)
  • CPT-018 Intervention