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This paper studies the value of communicated motion predictions in the longitudinal control of connected automated vehicles (CAVs). We focus on a safe cooperative adaptive cruise control (CACC) design and analyze the value of…

系统与控制 · 电气工程与系统科学 2021-08-19 Yeojun Kim , Jacopo Guanetti , Francesco Borrelli

Vehicle-to-vehicle (V2V) wireless communications can improve traffic safety at road intersections and enable congestion avoidance. However, detailed knowledge about the wireless propagation channel is needed for the development and…

信号处理 · 电气工程与系统科学 2020-01-15 Carl Gustafson , Kim Mahler , David Bolin , Fredrik Tufvesson

Resource allocation has a direct and profound impact on the performance of vehicle-to-everything (V2X) networks. Considering the dynamic nature of vehicular environments, it is appealing to devise a decentralized strategy to perform…

网络与互联网体系结构 · 计算机科学 2019-08-12 Liang Wang , Hao Ye , Le Liang , Geoffrey Ye Li

Vehicle-to-Vehicle (V2V) communication is intended to improve road safety through distributed information sharing; however, this type of system faces a design challenge: it is difficult to predict and optimize how human agents will respond…

计算机科学与博弈论 · 计算机科学 2025-09-24 Brendan Gould , Philip Brown

Cellular vehicle-to-everything (C-V2X) networks provide a promising solution to improve road safety and traffic efficiency. One key challenge in such systems lies in meeting different quality-of-service (QoS) requirements of coexisting…

信息论 · 计算机科学 2024-11-19 Tingyu Shui , Walid Saad , Mingzhe Chen

Vehicle-to-everything (V2X) communication is a key technology for enabling intelligent transportation systems (ITS) that can improve road safety, traffic efficiency, and environmental sustainability. Among the various V2X applications,…

信号处理 · 电气工程与系统科学 2025-09-12 Thomas Fehrenbach , Luis Omar Ortiz Abrego , Cornelius Hellge , Thomas Schierl , Jörg Ott

With the advent of sixth-generation (6G) mobile communication technology, vehicle-to-everything (V2X) communication faces unprecedented challenges in communication efficiency, system generalization capabilities, and model collaboration.…

With the rapid development of communication technology, connected vehicles (CV) have the potential, through the sharing of data, to enhance vehicle safety and reduce vehicle energy consumption and emissions. Numerous research efforts are…

信号处理 · 电气工程与系统科学 2022-02-04 Jianhe Du , Kyoungho Ahn , Mohamed Farag , Hesham Rakha

Connected and automated vehicles will enable advanced traffic safety and efficiency applications thanks to the dynamic exchange of information between vehicles, and between vehicles and infrastructure nodes. Connected vehicles can utilize…

网络与互联网体系结构 · 计算机科学 2019-09-10 Miguel Sepulcre , Javier Gozalvez

Vehicle-to-vehicle (V2V) communication is a key component of the future autonomous driving systems. V2V can provide an improved awareness of the surrounding environment, and the knowledge about the future actions of nearby vehicles.…

网络与互联网体系结构 · 计算机科学 2017-10-03 Vladimir Savic , Elad M. Schiller , Marina Papatriantafilou

The following paper proposes a novel Vehicle-to-Everything (V2X) network abnormality detection scheme based on Bayesian generative models for enhanced network self-awareness functionality at the Base station (BS). In the learning phase,…

信号处理 · 电气工程与系统科学 2024-03-07 Nobel J. William , Ali Krayani , Lucio Marcenaro , Carlo Regazzoni

Autonomous vehicles will rely heavily on vehicle-to-everything (V2X) communications to obtain a large amount of information required for navigation and road safety purposes. This can be achieved through: (i) leveraging millimeter-wave…

网络与互联网体系结构 · 计算机科学 2020-03-31 Saeede Fattahi-Bafghi , Zolfa Zeinalpour-Yazdi , Arash Asadi

As vehicle population has been increasing on a daily basis, this leads towards increased number of accidents. To overcome this issue, Vehicular Ad Hoc Network (VANET) has come up with lot of novel ideas such as vehicular communication,…

网络与互联网体系结构 · 计算机科学 2018-01-22 Ruchin Jain

In this letter, we investigate the performance of multiple-input multiple-output techniques in a vehicle-to-vehicle communication system. We consider both transmit antenna selection with maximal-ratio combining and transmit antenna…

信息论 · 计算机科学 2017-02-01 Yahia Alghorani , Mehdi Sayfi

Connected and Automated Vehicles (CAV) use sensors and wireless communication to improve road safety and efficiency. However, attackers may target Vehicle-to-Everything (V2X) communication. Indeed, an attacker may send…

密码学与安全 · 计算机科学 2022-11-16 Jean-Philippe Monteuuis , Jonathan Petit , Mohammad Raashid Ansari , Cong Chen , Seung Yang

Channel estimation for hybrid Multiple Input Multiple Output (MIMO) systems at Millimeter-Waves (mmW)/sub-THz is a fundamental, despite challenging, prerequisite for an efficient design of hybrid MIMO precoding/combining. Most works propose…

Cooperative Adaptive Cruise Control (CACC) is a vehicular technology that allows groups of vehicles on the highway to form in closely-coupled automated platoons to increase highway capacity and safety, and decrease fuel consumption and CO2…

系统与控制 · 电气工程与系统科学 2021-06-22 Tianci Yang , Carlos Murguia , Dragan Nešić , Chen Lv

Vehicle-to-Everything (V2X) cooperation is reshaping traffic safety from an ego-centric sensing problem into one of collective intelligence. This survey structures recent progress within a unified Sensor-Perception-Decision (SPD) framework…

系统与控制 · 电气工程与系统科学 2025-12-02 Jiaxun Zhang , Qian Xu , Zhenning Li , Chengzhong Xu , Keqiang Li

The emerging technology of Vehicle-to-Vehicle (V2V) communication over vehicular ad hoc networks promises to improve road safety by allowing vehicles to autonomously warn each other of road hazards. However, research on other transportation…

计算机科学与博弈论 · 计算机科学 2022-07-15 Brendan T. Gould , Philip N. Brown

Grid mapping is a fundamental approach to modeling the environment of intelligent vehicles or robots. Compared with object-based environment modeling, grid maps offer the distinct advantage of representing the environment without requiring…

机器人学 · 计算机科学 2026-04-03 Robin Dehler , Dominik Authaler , Aryan Thakur , Thomas Wodtko , Michael Buchholz