A unified vehicle trajectory prediction model using multi-level context-aware graph attention mechanism

K. Thirupura Sundari; A. Senthil Thilak

doi:10.1007/s11227-024-06393-2

ScienceGate Book Chapters

JOURNAL ARTICLE

A unified vehicle trajectory prediction model using multi-level context-aware graph attention mechanism

K. Thirupura Sundari A. Senthil Thilak

Year: 2024 Journal: The Journal of Supercomputing Vol: 80 (17)Pages: 25222-25255 Publisher: Springer Science+Business Media

DOI: 10.1007/s11227-024-06393-2

Get Full-Text PDF Get Analytical Report

Keywords:

Computer science Trajectory Scalability Adaptability Graph Context (archaeology) Node (physics) Distributed computing Artificial intelligence Theoretical computer science Database

Metrics

Cited By

0.80

FWCI (Field Weighted Citation Impact)

Refs

0.62

Citation Normalized Percentile

Is in top 1%

Is in top 10%

Citation History

Topics

Autonomous Vehicle Technology and Safety

Physical Sciences → Engineering → Automotive Engineering

Traffic Prediction and Management Techniques

Physical Sciences → Engineering → Building and Construction

Vehicular Ad Hoc Networks (VANETs)

Physical Sciences → Engineering → Electrical and Electronic Engineering

A unified vehicle trajectory prediction model using multi-level context-aware graph attention mechanism

Metrics

Citation History

Topics

Related Documents

Vehicle Trajectory Prediction in Highway Merging Area Using Interactive Graph Attention Mechanism

Adaptive Graph and Multi-Head Attention-Based Vehicle Trajectory Prediction

Scene-Centric Vehicle Trajectory Prediction at Cooperative Intersection Using Decision-Aware Attention Graph Transformer

Attention Mechanism-Based Maneuver-Aware Pooling Network for Vehicle Trajectory Prediction

Adaptive Vehicle Trajectory Forecasting via Context-Aware Multi-Level Attention-Augmented Long Short Term Memory