Vessel trajectory prediction in maritime transportation: Current approaches and beyond
The growing availability of maritime IoT traffic data and continuous expansion of the
maritime traffic volume, serving as the driving fuel, propel the latest Artificial Intelligence (AI) …
maritime traffic volume, serving as the driving fuel, propel the latest Artificial Intelligence (AI) …
A comprehensive survey of the key technologies and challenges surrounding vehicular ad hoc networks
Vehicular ad hoc networks (VANETs) and the services they support are an essential part of
intelligent transportation. Through physical technologies, applications, protocols, and …
intelligent transportation. Through physical technologies, applications, protocols, and …
Deep learning-powered vessel trajectory prediction for improving smart traffic services in maritime Internet of Things
The maritime Internet of Things (IoT) has recently emerged as a revolutionary
communication paradigm where a large number of moving vessels are closely …
communication paradigm where a large number of moving vessels are closely …
A novel federated learning scheme for generative adversarial networks
Generative adversarial networks (GANs) have been advancing and gaining tremendous
interests from both academia and industry. With the development of wireless technologies, a …
interests from both academia and industry. With the development of wireless technologies, a …
MESON: A mobility-aware dependent task offloading scheme for urban vehicular edge computing
Vehicular Edge Computing (VEC) is the transportation version of Mobile Edge Computing
(MEC) in road scenarios. One key technology of VEC is task offloading, which allows …
(MEC) in road scenarios. One key technology of VEC is task offloading, which allows …
Intelligent content caching strategy in autonomous driving toward 6G
The rapid development of 6G can help to bring autonomous driving closed to the reality.
Drivers and passengers will have more time for work and leisure spending in the vehicles …
Drivers and passengers will have more time for work and leisure spending in the vehicles …
An integrated car-following and lane changing vehicle trajectory prediction algorithm based on a deep neural network
Vehicle trajectory prediction is essential for the operation safety and control efficiency of
automated driving. Prevailing studies predict car following and lane change processes in a …
automated driving. Prevailing studies predict car following and lane change processes in a …
Vehicle trajectory prediction method coupled with ego vehicle motion trend under dual attention mechanism
Predicting the trajectory of neighboring vehicles is closely related to the driving safety of
intelligent vehicles and supports driving assistance. This article proposes a dual-attention …
intelligent vehicles and supports driving assistance. This article proposes a dual-attention …
Explainable multimodal trajectory prediction using attention models
K Zhang, L Li - Transportation Research Part C: Emerging …, 2022 - Elsevier
Automated vehicles are expected to navigate complex urban environments safely along with
several non-cooperating agents. Therefore, accurate trajectory prediction is crucial for safe …
several non-cooperating agents. Therefore, accurate trajectory prediction is crucial for safe …
Resource allocation in dt-assisted internet of vehicles via edge intelligent cooperation
Applications in the Internet of Vehicles (IoV) are usually accompanied by ultralow network
response latency requirement. A promising approach to meet this demand is combining the …
response latency requirement. A promising approach to meet this demand is combining the …