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相关论文: SecureV2X: An Efficient and Privacy-Preserving Sys…

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Vehicle-to-everything (V2X) communication techniques enable the collaboration between vehicles and many other entities in the neighboring environment, which could fundamentally improve the perception system for autonomous driving. However,…

计算机视觉与模式识别 · 计算机科学 2022-07-19 Yiming Li , Dekun Ma , Ziyan An , Zixun Wang , Yiqi Zhong , Siheng Chen , Chen Feng

The rapid expansion of Vehicle-to-Everything (V2X) networks within the Internet of Vehicles (IoV) demands secure and efficient authentication to support high-speed, high-density and mobility-challenged environments. This paper presents a…

密码学与安全 · 计算机科学 2025-05-13 Morteza Azmoudeh Afshar , Nesrine Benchoubane , Busra Cayoren , Gunes Karabulut Kurt , Enver Ozdemir

Modern vehicular wireless technology enables vehicles to exchange information at any time, from any place, to any network -- forms the vehicle-to-everything (V2X) communication platforms. Despite benefits, V2X applications also face great…

网络与互联网体系结构 · 计算机科学 2020-03-17 Monowar Hasan , Sibin Mohan , Takayuki Shimizu , Hongsheng Lu

With the rapid advancement of autonomous driving technology, vehicle-to-everything (V2X) communication has emerged as a key enabler for extending perception range and enhancing driving safety by providing visibility beyond the line of…

Perception for automated driving is largely based on onboard environmental sensors, such as cameras and radar, which are cost-effective but limited by line-of-sight and field-of-view constraints. These inherent limitations may cause onboard…

计算机视觉与模式识别 · 计算机科学 2026-05-04 Lukas Ostendorf , Lennart Reiher , Onn Haran , Lutz Eckstein

In recent years, vehicles became able to establish connections with other vehicles and infrastructure units that are located in the roadside. In the near future, the vehicular network will be expanded to include the communication between…

信息论 · 计算机科学 2019-01-07 Aljawharah Alnasser , Hongjian Sun , Jing Jiang

Vehicle-to-Everything (V2X) communication is receiving growing attention from industry and academia as multiple pilot projects explore its capabilities and feasibility. With about 50\% of global road vehicle exports coming from the European…

Future autonomous vehicles (AVs) will use a variety of sensors that generate a vast amount of data. Naturally, this data not only serves self-driving algorithms; but can also assist other vehicles or the infrastructure in real-time…

机器学习 · 计算机科学 2024-01-26 Levente Alekszejenkó , Tadeusz Dobrowiecki

Connected and Automated Vehicles use sensors and wireless communication to improve road safety and efficiency. However, attackers may target Vehicle-to-Everything communication. Indeed, an attacker may send authenticated but wrong data to…

密码学与安全 · 计算机科学 2021-12-07 Mohammad Raashid Ansari , Jean-Philippe Monteuuis , Jonathan Petit , Cong Chen

V2X cooperation, through the integration of sensor data from both vehicles and infrastructure, is considered a pivotal approach to advancing autonomous driving technology. Current research primarily focuses on enhancing perception accuracy,…

计算机视觉与模式识别 · 计算机科学 2024-05-08 Zhiwei Li , Bozhen Zhang , Lei Yang , Tianyu Shen , Nuo Xu , Ruosen Hao , Weiting Li , Tao Yan , Huaping Liu

Intelligent transportation systems (ITS) with advanced sensing and computing technologies are expected to support a whole new set of services including pedestrian and vehicular safety, internet access for vehicles, and eventually,…

信号处理 · 电气工程与系统科学 2020-08-11 Haji M. Furqan , Muhammad Sohaib J. Solaija , Jehad M. Hamamreh , Huseyin Arslan

In this paper, we investigate the application of Vehicle-to-Everything (V2X) communication to improve the perception performance of autonomous vehicles. We present a robust cooperative perception framework with V2X communication using a…

计算机视觉与模式识别 · 计算机科学 2022-08-09 Runsheng Xu , Hao Xiang , Zhengzhong Tu , Xin Xia , Ming-Hsuan Yang , Jiaqi Ma

With the tremendous advancement of deep learning and communication technology, Vehicle-to-Everything (V2X) cooperative perception has the potential to address limitations in sensing distant objects and occlusion for a single-agent…

人工智能 · 计算机科学 2025-09-30 An Guo , Shuoxiao Zhang , Enyi Tang , Xinyu Gao , Haomin Pang , Haoxiang Tian , Yanzhou Mu , Wu Wen , Chunrong Fang , Zhenyu Chen

Collaborative driving systems leverage vehicle-to-everything (V2X) communication for multi-agent collaborative perception to enhance driving safety, yet they remain constrained by scarce annotated real-world V2X driving datasets and limited…

计算机视觉与模式识别 · 计算机科学 2026-05-29 Yihang Tao , Yu Guo , Senkang Hu , Yanan Ma , Zihan Fang , Sam Kwong , Yuguang Fang

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

Vehicle-to-Everything (V2X) communication has emerged as a promising paradigm for autonomous driving, enabling connected agents to share complementary perception information and negotiate with each other to benefit the final planning.…

Significant progress has been made towards deploying Vehicle-to-Everything (V2X) technology. Integrating V2X with 5G has enabled ultra-low latency and high-reliability V2X communications. However, while communication performance has…

密码学与安全 · 计算机科学 2022-01-26 Abdelwahab Boualouache , Thomas Engel

Cooperative perception through Vehicle-to-Everything (V2X) communication offers significant potential for enhancing vehicle perception by mitigating occlusions and expanding the field of view. However, past research has predominantly…

计算机视觉与模式识别 · 计算机科学 2025-09-05 Seth Z. Zhao , Huizhi Zhang , Zhaowei Li , Juntong Peng , Anthony Chui , Zewei Zhou , Zonglin Meng , Hao Xiang , Zhiyu Huang , Fujia Wang , Ran Tian , Chenfeng Xu , Bolei Zhou , Jiaqi Ma

Cooperative perception through vehicle-to-everything (V2X) has garnered significant attention in recent years due to its potential to overcome occlusions and enhance long-distance perception. Great achievements have been made in both…

计算机视觉与模式识别 · 计算机科学 2024-09-10 Rongsong Li , Xin Pei

Occlusion is a major challenge for LiDAR-based object detection methods. This challenge becomes safety-critical in urban traffic where the ego vehicle must have reliable object detection to avoid collision while its field of view is…

机器人学 · 计算机科学 2023-09-20 Minh-Quan Dao , Julie Stephany Berrio , Vincent Frémont , Mao Shan , Elwan Héry , Stewart Worrall
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