Cover Image

Do Open-Loop Metrics Predict Closed-Loop Driving? A Cross-Benchmark Correlation Study of NAVSIM and Bench2Drive

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Yiru, Jiang, Anqing, Wang, Shuo, Heng, Yuwen, Yang, Hai, Chen, Yang, Sun, Hao
Format:	Preprint
Published:	2026
Subjects:	Robotics
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DiffVLA++: Bridging Cognitive Reasoning and End-to-End Driving through Metric-Guided Alignment
by: Gao, Yu, et al.
Published: (2025)

HiST-VLA: A Hierarchical Spatio-Temporal Vision-Language-Action Model for End-to-End Autonomous Driving
by: Wang, Yiru, et al.
Published: (2026)

Bench2Drive-VL: Benchmarks for Closed-Loop Autonomous Driving with Vision-Language Models
by: Jia, Xiaosong, et al.
Published: (2026)

UniUncer: Unified Dynamic Static Uncertainty for End to End Driving
by: Gao, Yu, et al.
Published: (2026)

FlowDrive: Energy Flow Field for End-to-End Autonomous Driving
by: Jiang, Hao, et al.
Published: (2025)

ETA-VLA: Efficient Token Adaptation via Temporal Fusion and Intra-LLM Sparsification for Vision-Language-Action Models
by: Wang, Yiru, et al.
Published: (2026)

Bench2Drive-Robust: Benchmarking Closed-Loop Autonomous Driving under Deployment Perturbations
by: Zhang, Zhiyuan, et al.
Published: (2026)

Bench2Drive: Towards Multi-Ability Benchmarking of Closed-Loop End-To-End Autonomous Driving
by: Jia, Xiaosong, et al.
Published: (2024)

Hydra-NeXt: Robust Closed-Loop Driving with Open-Loop Training
by: Li, Zhenxin, et al.
Published: (2025)

Fail2Drive: Benchmarking Closed-Loop Driving Generalization
by: Gerstenecker, Simon, et al.
Published: (2026)

DriveE2E: Closed-Loop Benchmark for End-to-End Autonomous Driving through Real-to-Simulation
by: Yu, Haibao, et al.
Published: (2025)

HiDrive: A Closed-Loop Benchmark for High-Level Autonomous Driving
by: Xia, Zhongyu, et al.
Published: (2026)

DiffSemanticFusion: Semantic Raster BEV Fusion for Autonomous Driving via Online HD Map Diffusion
by: Sun, Zhigang, et al.
Published: (2025)

An Open-Source Modular Benchmark for Diffusion-Based Motion Planning in Closed-Loop Autonomous Driving
by: Li, Yun, et al.
Published: (2026)

Closing the Loop: Motion Prediction Models beyond Open-Loop Benchmarks
by: Bouzidi, Mohamed-Khalil, et al.
Published: (2025)

Bench2Drive-R: Turning Real World Data into Reactive Closed-Loop Autonomous Driving Benchmark by Generative Model
by: You, Junqi, et al.
Published: (2024)

MDrive: Benchmarking Closed-Loop Cooperative Driving for End-to-End Multi-agent Systems
by: Coscoy, Marco, et al.
Published: (2026)

Continual Driving Policy Optimization with Closed-Loop Individualized Curricula
by: Niu, Haoyi, et al.
Published: (2023)

Open-Loop Planning, Closed-Loop Verification: Speculative Verification for VLA
by: Wang, Zihua, et al.
Published: (2026)

CLOVER: Closed-Loop Value Estimation and Ranking for End-to-End Autonomous Driving Planning
by: Ang, Sining, et al.
Published: (2026)

AnchDrive: Bootstrapping Diffusion Policies with Hybrid Trajectory Anchors for End-to-End Driving
by: Chai, Jinhao, et al.
Published: (2025)

LeGo-Drive: Language-enhanced Goal-oriented Closed-Loop End-to-End Autonomous Driving
by: Paul, Pranjal, et al.
Published: (2024)

DiffVLA: Vision-Language Guided Diffusion Planning for Autonomous Driving
by: Jiang, Anqing, et al.
Published: (2025)

HUGSIM: A Real-Time, Photo-Realistic and Closed-Loop Simulator for Autonomous Driving
by: Zhou, Hongyu, et al.
Published: (2024)

Driving in Corner Case: A Real-World Adversarial Closed-Loop Evaluation Platform for End-to-End Autonomous Driving
by: Geng, Jiaheng, et al.
Published: (2025)

Model-Based Policy Adaptation for Closed-Loop End-to-End Autonomous Driving
by: Lin, Haohong, et al.
Published: (2025)

BEVDriver: Leveraging BEV Maps in LLMs for Robust Closed-Loop Driving
by: Winter, Katharina, et al.
Published: (2025)

SAH-Drive: A Scenario-Aware Hybrid Planner for Closed-Loop Vehicle Trajectory Generation
by: Fan, Yuqi, et al.
Published: (2025)

S2R-Bench: A Sim-to-Real Evaluation Benchmark for Autonomous Driving
by: Wang, Li, et al.
Published: (2025)

nuPlan-R: A Closed-Loop Planning Benchmark for Autonomous Driving via Reactive Multi-Agent Simulation
by: Peng, Mingxing, et al.
Published: (2025)

LimSim++: A Closed-Loop Platform for Deploying Multimodal LLMs in Autonomous Driving
by: Fu, Daocheng, et al.
Published: (2024)

PlanT 2.0: Exposing Biases and Structural Flaws in Closed-Loop Driving
by: Gerstenecker, Simon, et al.
Published: (2025)

IRL-VLA: Training an Vision-Language-Action Policy via Reward World Model
by: Jiang, Anqing, et al.
Published: (2025)

Reason--Imagine--Act: Closed-Loop LLM Decision Making with World Models for Autonomous Driving
by: Sun, Zhengqi, et al.
Published: (2026)

SimLingo: Vision-Only Closed-Loop Autonomous Driving with Language-Action Alignment
by: Renz, Katrin, et al.
Published: (2025)

IFTD: Image Feature Triangle Descriptor for Loop Detection in Driving Scenes
by: Lang, Fengtian, et al.
Published: (2024)

NAVSIM: Data-Driven Non-Reactive Autonomous Vehicle Simulation and Benchmarking
by: Dauner, Daniel, et al.
Published: (2024)

Closed Loop Dynamic Driving Data Mixture for Real-Synthetic Co-Training
by: Ruan, Hongzhi, et al.
Published: (2026)

DiffTune-MPC: Closed-Loop Learning for Model Predictive Control
by: Tao, Ran, et al.
Published: (2023)

World-VLA-Loop: Closed-Loop Learning of Video World Model and VLA Policy
by: Liu, Xiaokang, et al.
Published: (2026)