Vehicle-to-Vehicle Secure Communication Protocol Based on Digital Vehicle Identification Number. [PDF]
Sensors (Basel)Escapa Gordón P +2 more
europepmc +1 more source
Machine learning-based detection and mitigation of cyberattacks in adaptive cruise control systems. [PDF]
Sci RepZhang YT +6 more
europepmc +1 more source
Modeling and analyzing V2V communication limitations impacts on connected and automated vehicle platoons. [PDF]
PLoS OneDai Y, Hu L, Liu Y, Yang A.
europepmc +1 more source
Vehicle Autonomy to Ecosystem Intelligence: A Systematic Review of Dynamic Vision Architectures in Surface Mining Operations. [PDF]
Sensors (Basel)Anti NYD, Frimpong S, Raza MA.
europepmc +1 more source
Review on Moving Zone Based Clustering in Vehicle-to-Vehicle (V2V) Communication
International Journal of Wireless Communications and Network Technologies, 2019 openaire +1 more source
DRLO-VANET: a deep reinforcement learning-based offloading framework for low-latency and energy-efficient task execution in VANETs. [PDF]
Sci RepNeelima S, Sree SR, Ramakrishnaiah N.
europepmc +1 more source
Vehicle-to-Vehicle Communications (V2V): criticità giuridiche e rischi cibernetici
Il contributo, adottando un approccio informatico-giuridico, analizza i rischi cibernetici dei Vehicle-to-Vehicle Communications (V2V): una tecnologia che permette lo scambio di informazioni tra i veicoli, aumentando in questo modo la sicurezza della circolazione stradale e riducendo i rischi di collisione.
openaire +1 more source
Computation Offloading Strategy Based on Multi-Agent Reinforcement Learning in Vehicular Edge Computing Networks. [PDF]
Sensors (Basel)Liu Y, Sun Q, Liu Z.
europepmc +1 more source
Communication resource allocation method in vehicular networks based on federated multi-agent deep reinforcement learning. [PDF]
Sci RepLiu Q, Ma Y.
europepmc +1 more source
Scalable cooperative lane-change management for connected autonomous vehicles using MPC-based decision coordination. [PDF]
Sci RepKouhi H, Schildbach G.
europepmc +1 more source