Copertina

MetaSSC: Enhancing 3D Semantic Scene Completion for Autonomous Driving through Meta-Learning and Long-sequence Modeling

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Qu, Yansong, Xu, Zixuan, Huang, Zilin, Sheng, Zihao, Chen, Tiantian, Chen, Sikai
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Artificial Intelligence
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

VLM-RL: A Unified Vision Language Models and Reinforcement Learning Framework for Safe Autonomous Driving
di: Huang, Zilin, et al.
Pubblicazione: (2024)

Trustworthy Human-AI Collaboration: Reinforcement Learning with Human Feedback and Physics Knowledge for Safe Autonomous Driving
di: Huang, Zilin, et al.
Pubblicazione: (2024)

CurricuVLM: Towards Safe Autonomous Driving via Personalized Safety-Critical Curriculum Learning with Vision-Language Models
di: Sheng, Zihao, et al.
Pubblicazione: (2025)

HAIM-DRL: Enhanced Human-in-the-loop Reinforcement Learning for Safe and Efficient Autonomous Driving
di: Huang, Zilin, et al.
Pubblicazione: (2024)

DriveVLM-RL: Neuroscience-Inspired Reinforcement Learning with Vision-Language Models for Safe and Deployable Autonomous Driving
di: Huang, Zilin, et al.
Pubblicazione: (2026)

VLM-SAFE: Vision-Language Model-Guided Safety-Aware Reinforcement Learning with World Models for Autonomous Driving
di: Qu, Yansong, et al.
Pubblicazione: (2025)

Traffic expertise meets residual RL: Knowledge-informed model-based residual reinforcement learning for CAV trajectory control
di: Sheng, Zihao, et al.
Pubblicazione: (2024)

HD$^2$-SSC: High-Dimension High-Density Semantic Scene Completion for Autonomous Driving
di: Yang, Zhiwen, et al.
Pubblicazione: (2025)

Sim2Real-AD: A Modular Sim-to-Real Framework for Deploying VLM-Guided Reinforcement Learning in Real-World Autonomous Driving
di: Huang, Zilin, et al.
Pubblicazione: (2026)

SafePLUG: Empowering Multimodal LLMs with Pixel-Level Insight and Temporal Grounding for Traffic Accident Understanding
di: Sheng, Zihao, et al.
Pubblicazione: (2025)

Found-RL: foundation model-enhanced reinforcement learning for autonomous driving
di: Qu, Yansong, et al.
Pubblicazione: (2026)

ExploreVLA: Dense World Modeling and Exploration for End-to-End Autonomous Driving
di: Sheng, Zihao, et al.
Pubblicazione: (2026)

PanoSSC: Exploring Monocular Panoptic 3D Scene Reconstruction for Autonomous Driving
di: Shi, Yining, et al.
Pubblicazione: (2024)

Sky-Drive: A Distributed Multi-Agent Simulation Platform for Human-AI Collaborative and Socially-Aware Future Transportation
di: Huang, Zilin, et al.
Pubblicazione: (2025)

SplatSSC: Decoupled Depth-Guided Gaussian Splatting for Semantic Scene Completion
di: Qian, Rui, et al.
Pubblicazione: (2025)

FlowSSC: Universal Generative Monocular Semantic Scene Completion via One-Step Latent Diffusion
di: Xi, Zichen, et al.
Pubblicazione: (2026)

Differentiable Semantic Meta-Learning Framework for Long-Tail Motion Forecasting in Autonomous Driving
di: Rao, Bin, et al.
Pubblicazione: (2025)

SSCBench: A Large-Scale 3D Semantic Scene Completion Benchmark for Autonomous Driving
di: Li, Yiming, et al.
Pubblicazione: (2023)

DepthSSC: Monocular 3D Semantic Scene Completion via Depth-Spatial Alignment and Voxel Adaptation
di: Yao, Jiawei, et al.
Pubblicazione: (2023)

PointSSC: A Cooperative Vehicle-Infrastructure Point Cloud Benchmark for Semantic Scene Completion
di: Yan, Yuxiang, et al.
Pubblicazione: (2023)

GaussianSSC: Triplane-Guided Directional Gaussian Fields for 3D Semantic Completion
di: Xian, Ruiqi, et al.
Pubblicazione: (2026)

DriveX: Omni Scene Modeling for Learning Generalizable World Knowledge in Autonomous Driving
di: Shi, Chen, et al.
Pubblicazione: (2025)

A Physics Enhanced Residual Learning (PERL) Framework for Vehicle Trajectory Prediction
di: Long, Keke, et al.
Pubblicazione: (2023)

Camera-Only 3D Panoptic Scene Completion for Autonomous Driving through Differentiable Object Shapes
di: Marinello, Nicola, et al.
Pubblicazione: (2025)

RESPOND: Risk-Enhanced Structured Pattern for LLM-driven Online Node-level Decision-making
di: Chen, Dan, et al.
Pubblicazione: (2025)

Bi-level Meta-Policy Control for Dynamic Uncertainty Calibration in Evidential Deep Learning
di: Yang, Zhen, et al.
Pubblicazione: (2025)

Disentangling Instance and Scene Contexts for 3D Semantic Scene Completion
di: Liu, Enyu, et al.
Pubblicazione: (2025)

A Survey on Vision-Language-Action Models for Autonomous Driving
di: Jiang, Sicong, et al.
Pubblicazione: (2025)

V2X-QA: A Comprehensive Reasoning Dataset and Benchmark for Multimodal Large Language Models in Autonomous Driving Across Ego, Infrastructure, and Cooperative Views
di: You, Junwei, et al.
Pubblicazione: (2026)

DiffSSC: Semantic LiDAR Scan Completion using Denoising Diffusion Probabilistic Models
di: Cao, Helin, et al.
Pubblicazione: (2024)

Unleashing Semantic and Geometric Priors for 3D Scene Completion
di: Chen, Shiyuan, et al.
Pubblicazione: (2025)

Enhancing 3D Semantic Scene Completion with a Refinement Module
di: Zhang, Dunxing, et al.
Pubblicazione: (2025)

SceneFactory: GPU-Accelerated Multi-Agent Driving Simulation with Physics-Based Vehicle Dynamics
di: Zhu, Yicheng, et al.
Pubblicazione: (2026)

On the Difficulty of Learning a Meta-network for Training Data Selection
di: Du, Zilin, et al.
Pubblicazione: (2026)

SceneCompleter: Dense 3D Scene Completion for Generative Novel View Synthesis
di: Chen, Weiliang, et al.
Pubblicazione: (2025)

Meta-Learning Online Dynamics Model Adaptation in Off-Road Autonomous Driving
di: Levy, Jacob, et al.
Pubblicazione: (2025)

Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical Perception
di: Zhao, Jihao, et al.
Pubblicazione: (2024)

Multi-Modal Data-Efficient 3D Scene Understanding for Autonomous Driving
di: Kong, Lingdong, et al.
Pubblicazione: (2024)

SMART: Scalable Multi-Agent Reasoning and Trajectory Planning in Dense Environments
di: Huang, Heye, et al.
Pubblicazione: (2025)

SSF: Sparse Long-Range Scene Flow for Autonomous Driving
di: Khoche, Ajinkya, et al.
Pubblicazione: (2025)