Imagen de Portada

SAIL: Scene-aware Adaptive Iterative Learning for Long-Tail Trajectory Prediction in Autonomous Vehicles

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Rao, Bin, Liao, Haicheng, Wang, Chengyue, Li, Keqiang, Li, Zhenning, Yang, Hai
Formato:	Preprint
Publicado:	2026
Materias:	Emerging Technologies Machine Learning
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Multi-Objective Optimization of ReRAM Crossbars for Robust DNN Inferencing under Stochastic Noise
por: Yang, Xiaoxuan, et al.
Publicado: (2021)

Learn to Solve Vehicle Routing Problems ASAP: A Neural Optimization Approach for Time-Constrained Vehicle Routing Problems with Finite Vehicle Fleet
por: Deineko, Elija, et al.
Publicado: (2024)

AMD: Adaptive Momentum and Decoupled Contrastive Learning Framework for Robust Long-Tail Trajectory Prediction
por: Rao, Bin, et al.
Publicado: (2025)

A Hybrid Tucker-LSTM Tensor Network Model for SOC Prediction in Electric Vehicles
por: Wang, Han, et al.
Publicado: (2026)

GNN-based Path-aware multi-view Circuit Learning for Technology Mapping
por: Jiang, Wentao, et al.
Publicado: (2026)

Interaction of Autonomous and Manually Controlled Vehicles Multiscenario Vehicle Interaction Dataset
por: Certad, Novel, et al.
Publicado: (2024)

Cybersecurity for Autonomous Vehicles
por: Bhemavarapu, Sai varun reddy
Publicado: (2025)

Maturity of Vehicle Digital Twins: From Monitoring to Enabling Autonomous Driving
por: Klar, Robert, et al.
Publicado: (2024)

Efficient Beam Selection for ISAC in Cell-Free Massive MIMO via Digital Twin-Assisted Deep Reinforcement Learning
por: Zhang, Jiexin, et al.
Publicado: (2025)

Joint Masked Reconstruction and Contrastive Learning for Mining Interactions Between Proteins
por: Li, Jiang, et al.
Publicado: (2025)

Machine Learning Models for Predicting Smoking-Related Health Decline and Disease Risk
por: Chakma, Vaskar, et al.
Publicado: (2025)

RTLocating: Intent-aware RTL Localization for Hardware Design Iteration
por: Xing, Changwen, et al.
Publicado: (2026)

Learning-driven Physically-aware Large-scale Circuit Gate Sizing
por: Ye, Yuyang, et al.
Publicado: (2024)

Calibration and Evaluation of Car-Following Models for Autonomous Shuttles Using a Novel Multi-Criteria Framework
por: Favero, Renan, et al.
Publicado: (2026)

Photonics for Sustainable Computing
por: Fayza, Farbin, et al.
Publicado: (2024)

Hardware-Adaptive and Superlinear-Capacity Memristor-based Associative Memory
por: He, Chengping, et al.
Publicado: (2025)

Adaptive Semantic Token Communication for Transformer-based Edge Inference
por: Devoto, Alessio, et al.
Publicado: (2025)

Control Strategy for VANET Autonomous Driving Vehicles in Emergency Situations Based on Deep Learning
por: Chu Kai, et al.
Publicado: (2025)

Hybrid Action Based Reinforcement Learning for Multi-Objective Compatible Autonomous Driving
por: Jin, Guizhe, et al.
Publicado: (2025)

Self Distillation via Iterative Constructive Perturbations
por: Dave, Maheak, et al.
Publicado: (2025)

Self-Supervised Contrastive Graph Clustering Network via Structural Information Fusion
por: Ji, Xiaoyang, et al.
Publicado: (2024)

Beyond the Mean: Modelling Annotation Distributions in Continuous Affect Prediction
por: Pinitas, Kosmas, et al.
Publicado: (2026)

Trustworthy Tree-based Machine Learning by $MoS_2$ Flash-based Analog CAM with Inherent Soft Boundaries
por: Wen, Bo, et al.
Publicado: (2025)

AutoGMap: Learning to Map Large-scale Sparse Graphs on Memristive Crossbars
por: Lyu, Bo, et al.
Publicado: (2021)

Quantum-Enhanced Hybrid Reinforcement Learning Framework for Dynamic Path Planning in Autonomous Systems
por: Tomar, Sahil, et al.
Publicado: (2025)

Improving Performance Prediction of Electrolyte Formulations with Transformer-based Molecular Representation Model
por: Priyadarsini, Indra, et al.
Publicado: (2024)

DEMO: A Dynamics-Enhanced Learning Model for Multi-Horizon Trajectory Prediction in Autonomous Vehicles
por: Wang, Chengyue, et al.
Publicado: (2024)

OmniBuds: A Sensory Earable Platform for Advanced Bio-Sensing and On-Device Machine Learning
por: Montanari, Alessandro, et al.
Publicado: (2024)

Leverage Multi-source Traffic Demand Data Fusion with Transformer Model for Urban Parking Prediction
por: Huang, Yin, et al.
Publicado: (2024)

Towards Infant Sleep-Optimized Driving: Synergizing Wearable and Vehicle Sensing in Intelligent Cruise Control
por: Chen, Ruitao, et al.
Publicado: (2025)

Context-aware Constrained Reinforcement Learning Based Energy-Efficient Power Scheduling for Non-stationary XR Data Traffic
por: Wang, Kexuan, et al.
Publicado: (2025)

Modular Autonomous Vehicle in Heterogeneous Traffic Flow: Modeling, Simulation, and Implication
por: Ye, Lanhang, et al.
Publicado: (2024)

Leveraging Large Language Models for Integrated Satellite-Aerial-Terrestrial Networks: Recent Advances and Future Directions
por: Javaid, Shumaila, et al.
Publicado: (2024)

The Roles of Generative Artificial Intelligence in Internet of Electric Vehicles
por: Zhang, Hanwen, et al.
Publicado: (2024)

A Dual Power Grid Cascading Failure Model for the Vulnerability Analysis
por: Zhou, Tianxin, et al.
Publicado: (2024)

FeBiM: Efficient and Compact Bayesian Inference Engine Empowered with Ferroelectric In-Memory Computing
por: Li, Chao, et al.
Publicado: (2024)

Extracting Inter-Protein Interactions Via Multitasking Graph Structure Learning
por: Li, Jiang, et al.
Publicado: (2025)

Profiling Electric Vehicles via Early Charging Voltage Patterns
por: Marchiori, Francesco, et al.
Publicado: (2025)

Towards a Conceptual Model of Users’ Expectations of an Autonomous In-Vehicle Multimodal Experience
por: Ecem Berfin Ince, et al.
Publicado: (2024)

Quantum Computing and Neuromorphic Computing for Safe, Reliable, and explainable Multi-Agent Reinforcement Learning: Optimal Control in Autonomous Robotics
por: Taghavi, Mazyar, et al.
Publicado: (2024)