nuScenes

The 'nuScenes' dataset is a comprehensive benchmark for autonomous driving that contains diverse sensor data and annotations from real-world driving scenarios, used to evaluate the performance of perception and planning algorithms in complex environments.

Papers using nuScenes (36)

SOLVE: Synergy Of Language-vision And End-to-end Networks For Autonomous Driving2025 · 4 citesImpromptu VLA: Open Weights And Open Data For Driving Vision-language-action Models2025Embodied Scene Understanding for Vision Language Models via MetaVQA2025 · 2 citesOpenDriveVLA: Towards End-to-end Autonomous Driving with Large Vision Language Action Model2025 · 1 citesCarscenes: Semantic VLM Dataset For Safe Autonomous Driving2025Learning Vision-Language-Action World Models for Autonomous Driving2026OneDrive: Unified Multi-Paradigm Driving with Vision-Language-Action Models2026SAMoE-VLA: A Scene Adaptive Mixture-of-Experts Vision-Language-Action Model for Autonomous Driving2026Natural Language Instructions for Scene-Responsive Human-in-the-Loop Motion Planning in Autonomous Driving using Vision-Language-Action Models2026DriveWorld-VLA: Unified Latent-Space World Modeling with Vision-Language-Action for Autonomous Driving2026Efficient and Explainable End-to-End Autonomous Driving via Masked Vision-Language-Action Diffusion2026MindDriver: Introducing Progressive Multimodal Reasoning for Autonomous Driving2026SparseOccVLA: Bridging Occupancy and Vision-Language Models via Sparse Queries for Unified 4D Scene Understanding and Planning2026Listen, Look, Drive: Coupling Audio Instructions for User-aware VLA-based Autonomous Driving2026dVLM-AD: Enhance Diffusion Vision-Language-Model for Driving via Controllable Reasoning2025ColaVLA: Leveraging Cognitive Latent Reasoning for Hierarchical Parallel Trajectory Planning in Autonomous Driving2025CoT4AD: A Vision-Language-Action Model with Explicit Chain-of-Thought Reasoning for Autonomous Driving2025A Low-rank Method For Vision Language Model Hallucination Mitigation In Autonomous Driving2025Less Is More: Lean Yet Powerful Vision-language Model For Autonomous Driving2025BEV-VLM: Trajectory Planning Via Unified BEV Abstraction2025KEPT: Knowledge-enhanced Prediction Of Trajectories From Consecutive Driving Frames With Vision-language Models2025Goal-based Vision-language Driving2025DriveAgent-R1: Advancing VLM-based Autonomous Driving with Active Perception and Hybrid Thinking2025AutoVLA: A Vision-Language-Action Model for End-to-End Autonomous Driving with Adaptive Reasoning and Reinforcement Fine-Tuning2025Stsbench: A Spatio-temporal Scenario Benchmark For Multi-modal Large Language Models In Autonomous Driving2025Nurisk: A Visual Question Answering Dataset For Agent-level Risk Assessment In Autonomous Driving2025Genesis: Multimodal Driving Scene Generation With Spatio-temporal And Cross-modal Consistency2025Structured Labeling Enables Faster Vision-language Models For End-to-end Autonomous Driving2025Llavida: A Large Language Vision Driving Assistant For Explicit Reasoning And Enhanced Trajectory Planning2025ALN-P3: Unified Language Alignment For Perception, Prediction, And Planning In Autonomous Driving2025Multimodal Framework For Explainable Autonomous Driving: Integrating Video, Sensor, And Textual Data For Enhanced Decision-making And Transparency2025S4-Driver: Scalable Self-Supervised Driving Multimodal Large Language Modelwith Spatio-Temporal Visual Representation2025RAD: Retrieval-Augmented Decision-Making of Meta-Actions with Vision-Language Models in Autonomous Driving2025DriveVLM: The Convergence of Autonomous Driving and Large Vision-Language Models2024 · 23 citesSenna: Bridging Large Vision-Language Models and End-to-End Autonomous Driving2024 · 3 citesRAC3: Retrieval-Augmented Corner Case Comprehension for Autonomous Driving with Vision-Language Models2024