Privacy-preserving generation and publication of synthetic trajectory microdata: A comprehensive survey
JW Kim, B Jang - Journal of Network and Computer Applications, 2024 - Elsevier
The generation of trajectory data has increased dramatically with the advent and
widespread use of GPS-enabled devices. This rich source of data provides invaluable …
widespread use of GPS-enabled devices. This rich source of data provides invaluable …
[HTML][HTML] A critical review of RNN and LSTM variants in hydrological time series predictions
M Waqas, UW Humphries - MethodsX, 2024 - Elsevier
The rapid advancement in Artificial Intelligence (AI) and big data has developed significance
in the water sector, particularly in hydrological time-series predictions. Recurrent Neural …
in the water sector, particularly in hydrological time-series predictions. Recurrent Neural …
A car-following model based on trajectory data for connected and automated vehicles to predict trajectory of human-driven vehicles
D Qu, S Wang, H Liu, Y Meng - Sustainability, 2022 - mdpi.com
Connected and Automated Vehicles (CAV) have been rapidly developed, which, inevitably,
renders that human-driven and autonomous vehicles share the road. Thus, trajectory …
renders that human-driven and autonomous vehicles share the road. Thus, trajectory …
Bubblex: An explainable deep learning framework for point-cloud classification
F Matrone, M Paolanti, A Felicetti… - IEEE Journal of …, 2022 - ieeexplore.ieee.org
Point-cloud data are nowadays one of the major data sources for describing our
environment. Recently, deep architectures have been proposed as a key step in …
environment. Recently, deep architectures have been proposed as a key step in …
GeoAI: a review of artificial intelligence approaches for the interpretation of complex geomatics data
R Pierdicca, M Paolanti - Geoscientific Instrumentation, Methods …, 2022 - gi.copernicus.org
Researchers have explored the benefits and applications of modern artificial intelligence
(AI) algorithms in different scenario. For the processing of geomatics data, AI offers …
(AI) algorithms in different scenario. For the processing of geomatics data, AI offers …
Vehicles trajectory prediction using recurrent VAE network
This paper presents an analysis of the implementation and performance of a deep learning
model based on Recurrent layers and Variational Auto Encoder model (VAE) architecture for …
model based on Recurrent layers and Variational Auto Encoder model (VAE) architecture for …
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) …
[HTML][HTML] Preservation of villages in Central Italy: Geomatic techniques' integration and GIS strategies for the post-earthquake assessment
Historical villages represent a highly vulnerable cultural heritage; their preservation can be
ensured thanks to technological innovations in the field of geomatics and information …
ensured thanks to technological innovations in the field of geomatics and information …
Vehicle lane-changing scenario generation using time-series generative adversarial networks with an adaptative parameter optimization strategy
Connected and automated vehicles (CAVs) hold promise for enhancing transportation safety
and efficiency. However, their large-scale deployment necessitates rigorous testing across …
and efficiency. However, their large-scale deployment necessitates rigorous testing across …
EscIRL: Evolving Self-Contrastive IRL for Trajectory Prediction in Autonomous Driving
While deep neural networks (DNN) and inverse reinforcement learning (IRL) have both
been commonly used in autonomous driving to predict trajectories through learning from …
been commonly used in autonomous driving to predict trajectories through learning from …