Federated learning in intelligent transportation systems: Recent applications and open problems
Intelligent transportation systems (ITSs) have been fueled by the rapid development of
communication technologies, sensor technologies, and the Internet of Things (IoT) …
communication technologies, sensor technologies, and the Internet of Things (IoT) …
A comprehensive survey on vehicular networking for safe and efficient driving in smart transportation: A focus on systems, protocols, and applications
Dramatic increase in road traffic volume has made driving safety and traffic efficiency more
challenging, but smart transportation has been spotlighted as a promising technology for …
challenging, but smart transportation has been spotlighted as a promising technology for …
GNSS user technology: State-of-the-art and future trends
D Egea-Roca, M Arizabaleta-Diez, T Pany… - IEEE …, 2022 - ieeexplore.ieee.org
Advances in the miniaturization, computational capabilities, and cost reduction of
semiconductor technology have made global navigation satellite systems (GNSSs) the …
semiconductor technology have made global navigation satellite systems (GNSSs) the …
Can (A) I give you a ride? Development and validation of the CRUISE framework for autonomous vehicle services
VS Osburg, V Yoganathan… - Journal of Service …, 2022 - journals.sagepub.com
Advances in artificial intelligence (AI) are increasingly enabling firms to develop services
that utilize autonomous vehicles (AVs). Yet, there are significant psychological barriers to …
that utilize autonomous vehicles (AVs). Yet, there are significant psychological barriers to …
Edge-cooperative privacy-preserving object detection over random point cloud shares for connected autonomous vehicles
Connected autonomous vehicles (CAVs) employ the point cloud data captured by LiDAR to
enhance the capability of object recognition and detection. Edge computing with its inherent …
enhance the capability of object recognition and detection. Edge computing with its inherent …
On the feasibility of remote driving applications over mmWave 5G vehicular communications: Implementation and demonstration
This paper presents a study conducted for the feasibility validation of a remote driving
application, which is one of the use cases of 5G Vehicle-to-everything (V2X), over millimeter …
application, which is one of the use cases of 5G Vehicle-to-everything (V2X), over millimeter …
Memristor-based adaptive neuromorphic perception in unstructured environments
Efficient operation of control systems in robotics or autonomous driving targeting real-world
navigation scenarios requires perception methods that allow them to understand and adapt …
navigation scenarios requires perception methods that allow them to understand and adapt …
Integration of ICN and MEC in 5G and beyond networks: Mutual benefits, use cases, challenges, standardization, and future research
Multi-access Edge Computing (MEC) is a novel edge computing paradigm that moves
cloudbased processing and storage capabilities closer to mobile users by implementing …
cloudbased processing and storage capabilities closer to mobile users by implementing …
Adapting the H. 264 Standard to the Internet of Vehicles
Y Wiseman - Technologies, 2023 - mdpi.com
We suggest two steps of reducing the amount of data transmitted on Internet of Vehicle
networks. The first step shifts the image from a full-color resolution to only an 8-color …
networks. The first step shifts the image from a full-color resolution to only an 8-color …
A novel contract theory-based incentive mechanism for cooperative task-offloading in electrical vehicular networks
The proliferation of compute-intensive services in next-generation vehicular networks will
impose an unprecedented computation demand to meet stringent latency and resource …
impose an unprecedented computation demand to meet stringent latency and resource …