Imagen de Portada

A Physics Enhanced Residual Learning (PERL) Framework for Vehicle Trajectory Prediction

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Long, Keke, Sheng, Zihao, Shi, Haotian, Li, Xiaopeng, Chen, Sikai, Ahn, Sue
Formato:	Preprint
Publicado:	2023
Materias:	Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Crossfusor: A Cross-Attention Transformer Enhanced Conditional Diffusion Model for Car-Following Trajectory Prediction
por: You, Junwei, et al.
Publicado: (2024)

Theory Foundation of Physics-Enhanced Residual Learning
por: Liang, Shixiao, et al.
Publicado: (2025)

Online Physical Enhanced Residual Learning for Connected Autonomous Vehicles Platoon Centralized Control
por: Zhou, Hang, et al.
Publicado: (2024)

Online Adaptive Platoon Control for Connected and Automated Vehicles via Physics Enhanced Residual Learning
por: Zhang, Peng, et al.
Publicado: (2024)

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

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

Physics Enhanced Residual Policy Learning (PERPL) for safety cruising in mixed traffic platooning under actuator and communication delay
por: Long, Keke, et al.
Publicado: (2024)

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

Simulating the Unseen: Crash Prediction Must Learn from What Did Not Happen
por: Li, Zihao, et al.
Publicado: (2025)

SAPI: Surroundings-Aware Vehicle Trajectory Prediction at Intersections
por: Zhang, Ethan, et al.
Publicado: (2023)

VLM-MPC: Vision Language Foundation Model (VLM)-Guided Model Predictive Controller (MPC) for Autonomous Driving
por: Long, Keke, et al.
Publicado: (2024)

CoRE: Enhancing Metacognition with Label-free Self-evaluation in LRMs
por: Li, Haoxi, et al.
Publicado: (2025)

Spatial Temporal Attention based Target Vehicle Trajectory Prediction for Internet of Vehicles
por: Huang, Ouhan, et al.
Publicado: (2025)

GRANP: A Graph Recurrent Attentive Neural Process Model for Vehicle Trajectory Prediction
por: Luo, Yuhao, et al.
Publicado: (2024)

SAIL: Scene-aware Adaptive Iterative Learning for Long-Tail Trajectory Prediction in Autonomous Vehicles
por: Rao, Bin, et al.
Publicado: (2026)

Improving Consistency in Vehicle Trajectory Prediction Through Preference Optimization
por: Azevedo, Caio, et al.
Publicado: (2025)

Aircraft Landing Time Prediction with Deep Learning on Trajectory Images
por: Huang, Liping, et al.
Publicado: (2024)

A Post-Training Enhanced Optimization Approach for Small Language Models
por: Zhai, Keke
Publicado: (2024)

Calibrating Practical Privacy Risks for Differentially Private Machine Learning
por: Gu, Yuechun, et al.
Publicado: (2024)

STRAP: Spatial-Temporal Risk-Attentive Vehicle Trajectory Prediction for Autonomous Driving
por: Ning, Xinyi, et al.
Publicado: (2025)

Hybrid Physics and Deep Learning Model for Interpretable Vehicle State Prediction
por: Baier, Alexandra, et al.
Publicado: (2021)

CityTrajBench: A Unified Benchmark for City-Scale Vehicle Trajectory Generation
por: Zhu, Shibo, et al.
Publicado: (2026)

TransferTraj: A Vehicle Trajectory Learning Model for Region and Task Transferability
por: Wei, Tonglong, et al.
Publicado: (2025)

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

Reputation-Driven Asynchronous Federated Learning for Enhanced Trajectory Prediction with Blockchain
por: Chen, Weiliang, et al.
Publicado: (2024)

Dynamic Scheduling for Vehicle-to-Vehicle Communications Enhanced Federated Learning
por: Yan, Jintao, et al.
Publicado: (2024)

MSMA: Multi-agent Trajectory Prediction in Connected and Autonomous Vehicle Environment with Multi-source Data Integration
por: Chen, Xi, et al.
Publicado: (2024)

Building Real-time Awareness of Out-of-distribution in Trajectory Prediction for Autonomous Vehicles
por: Guo, Tongfe, et al.
Publicado: (2024)

diffIRM: A Diffusion-Augmented Invariant Risk Minimization Framework for Spatiotemporal Prediction over Graphs
por: Mo, Zhaobin, et al.
Publicado: (2024)

Machine Learning-Based Vehicle Intention Trajectory Recognition and Prediction for Autonomous Driving
por: Yu, Hanyi, et al.
Publicado: (2024)

BeamPERL: Parameter-Efficient RL with Verifiable Rewards Specializes Compact LLMs for Structured Beam Mechanics Reasoning
por: Hage, Tarjei Paule, et al.
Publicado: (2026)

RiskNet: Interaction-Aware Risk Forecasting for Autonomous Driving in Long-Tail Scenarios
por: Liu, Qichao, et al.
Publicado: (2025)

A Universal Model Combining Differential Equations and Neural Networks for Ball Trajectory Prediction
por: Shi, Zhiwei, et al.
Publicado: (2025)

Risk-Informed Diffusion Transformer for Long-Tail Trajectory Prediction in the Crash Scenario
por: Chen, Junlan, et al.
Publicado: (2025)

Multi-Token Residual Prediction
por: Xu, Yufeng, et al.
Publicado: (2026)

Privacy-Preserving Federated Learning via Dataset Distillation
por: Xu, ShiMao, et al.
Publicado: (2024)

Enhancing Decision Transformer with Diffusion-Based Trajectory Branch Generation
por: Liu, Zhihong, et al.
Publicado: (2024)

Pruning for Generalization: A Transfer-Oriented Spatiotemporal Graph Framework
por: Jing, Zihao, et al.
Publicado: (2026)

PirateNets: Physics-informed Deep Learning with Residual Adaptive Networks
por: Wang, Sifan, et al.
Publicado: (2024)

Learning Flexible Forward Trajectories for Masked Molecular Diffusion
por: Seo, Hyunjin, et al.
Publicado: (2025)