Results 21 to 30 of about 7,096 (222)

Integrated Avoid Collision Control of Autonomous Vehicle Based on Trajectory Re-Planning and V2V Information Interaction

open access: yesSensors, 2020
An integrated longitudinal-lateral control method is proposed for autonomous vehicle trajectory tracking and dynamic collision avoidance. A method of obstacle trajectory prediction is proposed, in which the trajectory of the obstacle is predicted and the
Fen Lin   +3 more
doaj   +1 more source

Outage Probability of Vehicular Networks under Unreliable Backhaul [PDF]

open access: yesEAI Endorsed Transactions on Industrial Networks and Intelligent Systems, 2018
This paper presents for the first time a heterogeneous vehicular model with multiple moving small cells and a moving receiver with unreliable backhaul.
Cheng Yin   +2 more
doaj   +1 more source

A Multifunctional Single-Phase EV On-Board Charger with a New V2V Charging Assistance Capability [PDF]

open access: yes, 2020
© 2013 IEEE. This paper presents the design and implementation of a single-phase multifunctional electric-vehicle (EV) on-board charger with an advanced vehicle-to-vehicle (V2V) functionality for emergency roadside charging assistance situations.
Taghizadeh, S   +9 more
core   +1 more source

A Study of V2V Communication on VANET: Characteristic, Challenges and Research Trends

open access: yesJISA (Jurnal Informatika dan Sains), 2021
Vehicle to Vehicle (V2V) communication is a specific type of communication on Vehicular Ad Hoc Network (VANET)  that attracts the great interest of researchers, industries, and government attention in due to its essential application to improve safety ...
Ketut Bayu Yogha Bintoro
doaj   +1 more source

Cooperative Perception With Learning-Based V2V Communications

open access: yesIEEE Wireless Communications Letters, 2023
Cooperative perception has been widely used in autonomous driving to alleviate the inherent limitation of single automated vehicle perception. To enable cooperation, vehicle-to-vehicle (V2V) communication plays an indispensable role. This work analyzes the performance of cooperative perception accounting for communications channel impairments ...
Chenguang Liu   +5 more
openaire   +3 more sources

Impact of V2V Communication on Eco-Route Choice

open access: yesLogi, 2020
Usually, route choice is performed considering a single objective like considering a single object among travel time, emission, and travel distance.
Rahman Faysal Ibna
doaj   +1 more source

Simplifying the in-vehicle connectivity for ITS applications

open access: yesEAI Endorsed Transactions on Energy Web, 2015
In-vehicle connectivity has experienced a big expansion in recent years; car manufacturers are very active in this sense, and are proposing OBU oriented solutions. This effort is justified by the user demands for always-on connectivity.
Sergio Tornell   +5 more
doaj   +1 more source

Experimental Characterization of Routing Protocols in Urban Vehicular Communication

open access: yesTransport and Telecommunication, 2019
Vehicular communication is a cynosure in automotive industry these days. V2V communication is one of the types of vehicular communication which render lane change warning, emergency vehicle alert, intersection alert, congestion alert, payment at tolls ...
Punia Divya, Kumar Rajender
doaj   +1 more source

Dynamic power control scheme for C-V2X communication with channel inversion

open access: yesDianxin kexue, 2021
In cellular vehicle-to-everything(C-V2X)system, V2V(vehicle-to-vehicle)-based communication utilizes the spectrum resource of cellular users(CUE)to reduce the load of base stations, and thus realize partial near-field V2V communication.Although the V2V ...
Jieping ZHAI, Xiaolan LIU, Hailin XIAO
doaj   +2 more sources

Dynamic Spectrum Resource Allocation in Internet of Vehicles Based on SAC Reinforcement Learning [PDF]

open access: yesJisuanji gongcheng, 2021
To address the scarcity of spectrum resources in Internet of Vehicles(IoV), a novel multi-agent dynamic spectrum allocation solution based on Soft Actor-Critic(SAC) reinforcement learning is proposed.The solution aims to maximize the total channel ...
HUANG Yufan, PENG Nuoheng, LIN Yan, FAN Jiancun, ZHANG Yijin, YU Yanqiu
doaj   +1 more source

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