Browsing Publikasjoner fra CRIStin - SINTEF AS by Journals "IEEE transactions on intelligent transportation systems (Print)"
Now showing items 1-5 of 5
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Deviation Point Curriculum Learning for Trajectory Outlier Detection in Cooperative Intelligent Transport Systems
(Peer reviewed; Journal article, 2021)Cooperative Intelligent Transport Systems (C-ITS) are emerging in the field of transportation systems, which can be used to provide safety, sustainability, efficiency, communication and cooperation between vehicles, roadside ... -
Hybrid group anomaly detection for sequence data: application to trajectory data analytics
(Peer reviewed; Journal article, 2021)Many research areas depend on group anomaly detection. The use of group anomaly detection can maintain and provide security and privacy to the data involved. This research attempts to solve the deficiency of the existing ... -
Hybrid RESNET and Regional Convolution Neural Network Framework for Accident Estimation in Smart Roads
(Peer reviewed; Journal article, 2022)Road safety is tackled and an intelligent deep learning framework is proposed in this work, which includes outlier detection, vehicle detection, and accident estimation. The road state is first collected, while an intelligent ... -
Intelligent Deep Fusion Network for Anomaly Identification in Maritime Transportation Systems
(Peer reviewed; Journal article, 2022)This paper introduces a novel deep learning architecture for identifying outliers in the context of intelligent transportation systems. The use of a convolutional neural network with decomposition is explored to find ... -
Intelligent Graph Convolutional Neural Network for Road Crack Detection
(Peer reviewed; Journal article, 2022)This paper presents a novel intelligent system based on graph convolutional neural networks to study road crack detection in intelligent transportation systems. The visual features of the input images are first computed ...