VT-Former: A Transformer-based Vehicle Trajectory Prediction Approach For Intelligent Highway Transportation Systems
Enhancing roadway safety and traffic management has become an essential focus area for
a broad range of modern cyber-physical systems and intelligent transportation systems …
a broad range of modern cyber-physical systems and intelligent transportation systems …
VT-Former: An Exploratory Study on Vehicle Trajectory Prediction for Highway Surveillance through Graph Isomorphism and Transformer
Enhancing roadway safety has become an essential computer vision focus area for
Intelligent Transportation Systems (ITS). As a part of ITS Vehicle Trajectory Prediction (VTP) …
Intelligent Transportation Systems (ITS). As a part of ITS Vehicle Trajectory Prediction (VTP) …
Robust Long-Term Vehicle Trajectory Prediction Using Link Projection and a Situation-Aware Transformer
The trajectory prediction of a vehicle emerges as a pivotal component in Intelligent
Transportation Systems. On urban roads where external factors such as intersections and …
Transportation Systems. On urban roads where external factors such as intersections and …
Intention-aware interactive transformer for real-time vehicle trajectory prediction in dense traffic
The intelligent transportation system (ITS) is one of the key components of future
transportation. Vehicle trajectory prediction, which is made possible by recent advancement …
transportation. Vehicle trajectory prediction, which is made possible by recent advancement …
Interactive Vehicle Trajectory Prediction for Highways Based on a Graph Attention Mechanism
Z Song, Y Qian - World Electric Vehicle Journal, 2024 - mdpi.com
Precise trajectory prediction is pivotal for autonomous vehicles operating in real-world traffic
conditions, and can help them make the right decisions to ensure safety on the road …
conditions, and can help them make the right decisions to ensure safety on the road …
Efficient Context-Aware Graph Transformer for Vehicle Motion Prediction
C Gómez-Huélamo, MV Conde… - 2023 IEEE 26th …, 2023 - ieeexplore.ieee.org
Motion Prediction (MP) of multiple surrounding agents, and accurate trajectory forecasting, is
a crucial task for self-driving vehicles and robots. Current techniques tackle this problem …
a crucial task for self-driving vehicles and robots. Current techniques tackle this problem …
EMSIN: Enhanced Multi-Stream Interaction Network for Vehicle Trajectory Prediction
Predicting the future trajectories of dynamic traffic actors is the Gordian knot for autonomous
vehicles to achieve collision-free driving. Most existing works suffer from a gap in …
vehicles to achieve collision-free driving. Most existing works suffer from a gap in …
Interaction-aware personalized vehicle trajectory prediction using temporal graph neural networks
A Abdelraouf, R Gupta, K Han - 2023 IEEE 26th International …, 2023 - ieeexplore.ieee.org
Accurate prediction of vehicle trajectories is vital for advanced driver assistance systems and
autonomous vehicles. Existing methods mainly rely on generic trajectory predictions derived …
autonomous vehicles. Existing methods mainly rely on generic trajectory predictions derived …
Trajectory set Empowered Hypergraph Transformer for Mobile Sensor Based Traffic Prediction
Traffic speed prediction is vital for intelligent transportation systems. However, most existing
methods focus on costly static sensors. In contrast, utilizing GPS devices from vehicles as …
methods focus on costly static sensors. In contrast, utilizing GPS devices from vehicles as …
Vehicle Interactive Dynamic Graph Neural Network Based Trajectory Prediction for Internet of Vehicles
In the context of the booming Internet of Vehicles, predicting vehicle trajectories is crucial for
intelligent transportation systems. Existing methods, reliant on sensor data and behavior …
intelligent transportation systems. Existing methods, reliant on sensor data and behavior …