Copertina

C2F-TP: A Coarse-to-Fine Denoising Framework for Uncertainty-Aware Trajectory Prediction

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Wang, Zichen, Miao, Hao, Wang, Senzhang, Wang, Renzhi, Wang, Jianxin, Zhang, Jian
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Robotics Artificial Intelligence Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

Hierarchical Two-Stage Framework for Environment-Aware Long-Horizon Vessel Trajectory Prediction
di: Gnanavel, Ganeshaaraj, et al.
Pubblicazione: (2026)

OOSTraj: Out-of-Sight Trajectory Prediction With Vision-Positioning Denoising
di: Zhang, Haichao, et al.
Pubblicazione: (2024)

NEST: A Neuromodulated Small-world Hypergraph Trajectory Prediction Model for Autonomous Driving
di: Wang, Chengyue, et al.
Pubblicazione: (2024)

Multi-vessel Interaction-Aware Trajectory Prediction and Collision Risk Assessment
di: Alam, Md Mahbub, et al.
Pubblicazione: (2025)

Stochastic Trajectory Prediction under Unstructured Constraints
di: Ma, Hao, et al.
Pubblicazione: (2025)

Consistency Trajectory Planning: High-Quality and Efficient Trajectory Optimization for Offline Model-Based Reinforcement Learning
di: Wang, Guanquan, et al.
Pubblicazione: (2025)

DiffTORI: Differentiable Trajectory Optimization for Deep Reinforcement and Imitation Learning
di: Wan, Weikang, et al.
Pubblicazione: (2024)

Shifting Uncertainty to Critical Moments: Towards Reliable Uncertainty Quantification for VLA Model
di: Tang, Yanchuan, et al.
Pubblicazione: (2026)

Risk-Aware Vehicle Trajectory Prediction Under Safety-Critical Scenarios
di: Wang, Qingfan, et al.
Pubblicazione: (2024)

Deep Multi-View Channel-Wise Spatio-Temporal Network for Traffic Flow Prediction
di: Miao, Hao, et al.
Pubblicazione: (2024)

Bootstrapped Model Predictive Control
di: Wang, Yuhang, et al.
Pubblicazione: (2025)

CoFineLLM: Conformal Finetuning of LLMs for Language-Instructed Robot Planning
di: Wang, Jun, et al.
Pubblicazione: (2025)

Evidential Uncertainty Estimation for Multi-Modal Trajectory Prediction
di: Marvi, Sajad, et al.
Pubblicazione: (2025)

Traj2Action: A Co-Denoising Framework for Trajectory-Guided Human-to-Robot Skill Transfer
di: Zhou, Han, et al.
Pubblicazione: (2025)

Prediction with Action: Visual Policy Learning via Joint Denoising Process
di: Guo, Yanjiang, et al.
Pubblicazione: (2024)

VeTraSS: Vehicle Trajectory Similarity Search Through Graph Modeling and Representation Learning
di: Cheng, Ming, et al.
Pubblicazione: (2024)

Causality-Aware Transformer Networks for Robotic Navigation
di: Wang, Ruoyu, et al.
Pubblicazione: (2024)

PartInstruct: Part-level Instruction Following for Fine-grained Robot Manipulation
di: Yin, Yifan, et al.
Pubblicazione: (2025)

Research on Autonomous Robots Navigation based on Reinforcement Learning
di: Wang, Zixiang, et al.
Pubblicazione: (2024)

MARFT: Multi-Agent Reinforcement Fine-Tuning
di: Liao, Junwei, et al.
Pubblicazione: (2025)

Learning-based NLOS Detection and Uncertainty Prediction of GNSS Observations with Transformer-Enhanced LSTM Network
di: Zhang, Haoming, et al.
Pubblicazione: (2023)

Beyond Patterns: Harnessing Causal Logic for Autonomous Driving Trajectory Prediction
di: Wang, Bonan, et al.
Pubblicazione: (2025)

Exploiting Hybrid Policy in Reinforcement Learning for Interpretable Temporal Logic Manipulation
di: Zhang, Hao, et al.
Pubblicazione: (2024)

Learning Human-Like RL Agents Through Trajectory Optimization With Action Quantization
di: Guo, Jian-Ting, et al.
Pubblicazione: (2025)

3D-ViTac: Learning Fine-Grained Manipulation with Visuo-Tactile Sensing
di: Huang, Binghao, et al.
Pubblicazione: (2024)

Offline Goal-Conditioned Reinforcement Learning for Safety-Critical Tasks with Recovery Policy
di: Cao, Chenyang, et al.
Pubblicazione: (2024)

MFTraj: Map-Free, Behavior-Driven Trajectory Prediction for Autonomous Driving
di: Liao, Haicheng, et al.
Pubblicazione: (2024)

Adaptive Motion Generation Using Uncertainty-Driven Foresight Prediction
di: Hiruma, Hyogo, et al.
Pubblicazione: (2024)

Efficient Online RL Fine Tuning with Offline Pre-trained Policy Only
di: Xiao, Wei, et al.
Pubblicazione: (2025)

BEV-VLM: Trajectory Planning via Unified BEV Abstraction
di: Chen, Guancheng, et al.
Pubblicazione: (2025)

RL-VLM-F: Reinforcement Learning from Vision Language Foundation Model Feedback
di: Wang, Yufei, et al.
Pubblicazione: (2024)

Self-Discovered Intention-aware Transformer for Multi-modal Vehicle Trajectory Prediction
di: Liu, Diyi, et al.
Pubblicazione: (2026)

From Power to Precision: Learning Fine-grained Dexterity for Multi-fingered Robotic Hands
di: Ye, Jianglong, et al.
Pubblicazione: (2025)

Reward-Centered ReST-MCTS: A Robust Decision-Making Framework for Robotic Manipulation in High Uncertainty Environments
di: Wang, Xibai
Pubblicazione: (2025)

FFHFlow: Diverse and Uncertainty-Aware Dexterous Grasp Generation via Flow Variational Inference
di: Feng, Qian, et al.
Pubblicazione: (2024)

Uncertainty-Aware Hybrid Machine Learning in Virtual Sensors for Vehicle Sideslip Angle Estimation
di: Kalyanasundaram, Abinav, et al.
Pubblicazione: (2025)

Robust Offline Imitation Learning Through State-level Trajectory Stitching
di: Wang, Shuze, et al.
Pubblicazione: (2025)

Beyond Features: How Dataset Design Influences Multi-Agent Trajectory Prediction Performance
di: Demmler, Tobias, et al.
Pubblicazione: (2025)

Conformal Prediction in The Loop: A Feedback-Based Uncertainty Model for Trajectory Optimization
di: Wang, Han, et al.
Pubblicazione: (2025)

Uncertainty-Aware Autonomous Vehicles: Predicting the Road Ahead
di: Manchingal, Shireen Kudukkil, et al.
Pubblicazione: (2025)