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Online V2X Scheduling for Raw-Level Cooperative Perception [article]

Yukuan Jia, Ruiqing Mao, Yuxuan Sun, Sheng Zhou, Zhisheng Niu
2022 arXiv   pre-print
In this paper, we present a model of raw-level cooperative perception and formulate the energy minimization problem of sensor sharing scheduling as a variant of the Multi-Armed Bandit (MAB) problem.  ...  While raw-level cooperative perception preserves most information to guarantee accuracy, it is demanding in communication bandwidth and computation power.  ...  In this work, we focus on the sensor sharing scheduling with raw-level cooperative perception, and propose an online learning-based algorithm to minimize the energy consumption.  ... 
arXiv:2202.06085v1 fatcat:4u7ok63tlnflhh6z7bn5c7rh6m

COOPERNAUT: End-to-End Driving with Cooperative Perception for Networked Vehicles [article]

Jiaxun Cui, Hang Qiu, Dian Chen, Peter Stone, Yuke Zhu
2022 arXiv   pre-print
We introduce COOPERNAUT, an end-to-end learning model that uses cross-vehicle perception for vision-based cooperative driving.  ...  With recent developments of telecommunication technologies, cooperative perception with vehicle-to-vehicle communications has become a promising paradigm to enhance autonomous driving in dangerous or emergency  ...  Prior work [13, 32] proposed cooperative perception systems that broaden the vehicle's visual horizon by sharing raw visual information with other nearby vehicles.  ... 
arXiv:2205.02222v1 fatcat:sg7rbexumngivn3acn2etpd4pm

On 5G-V2X Use Cases and Enabling Technologies: A Comprehensive Survey

Ahmad Alalewi, Iyad Dayoub, Soumaya Cherkaoui
2021 IEEE Access  
ACKNOWLEDGMENT The authors would like to give special thanks to the National program for the urgent aid and reception of scientists in exile (PAUSE program) from Collège de France for its funding of this  ...  The required data rate ranges from 0.5 to 50 Mbps per link for cooperative perception. 0.05 to 3 Mbps per link for collaborative maneuver.  ...  In both use cases it requires the sharing of the cooperative perception and cooperative maneuver aspects.  ... 
doi:10.1109/access.2021.3100472 fatcat:sbl3ekkiczd5jirvdppv6ey6xe

A Survey of 5G Technology Evolution, Standards, and Infrastructure Associated with Vehicle-to-Everything Communications by Internet of Vehicles

Carlos Renato Storck, Fatima Duarte-Figueiredo
2020 IEEE Access  
It is specifically useful for the Internet of Vehicles (IoV), guaranteeing fast connections and security.  ...  In other words, it presents the IoV supported by 5G V2X communications, considering its architecture, applications and also the V2X features and protocols, as well as the modes, the evaluation and the  ...  on the network involvement for scheduling.  ... 
doi:10.1109/access.2020.3004779 fatcat:evayhzppcfer5aagsf6l6hazyy

Autonomous Vehicles in 5G and Beyond: A Survey [article]

Saqib Hakak, Thippa Reddy Gadekallu, Swarna Priya Ramu, Parimala M, Praveen Kumar Reddy Maddikunta, Chamitha de Alwis, Madhusanka Liyanage
2022 arXiv   pre-print
This survey first starts with a discussion on the current advancements in AVs, automation levels, enabling technologies and 5G requirements.  ...  It has the capability to provide greater coverage, better access, and best suited for high density networks.  ...  The first and foremost layer is the perception layer which is responsible for gathering the raw information from the environment with the help of sensors mounted over the vehicle.  ... 
arXiv:2207.10510v1 fatcat:myzpimlcazgjbkcr5n4e6zefsi

Machine Learning Technologies for Secure Vehicular Communication in Internet of Vehicles: Recent Advances and Applications

Elmustafa Sayed Ali, Mohammad Kamrul Hasan, Rosilah Hassan, Rashid A. Saeed, Mona Bakri Hassan, Shayla Islam, Nazmus Shaker Nafi, Savitri Bevinakoppa, Fawad Ahmed
2021 Security and Communication Networks  
Finally, future directions and potential solutions for secure ML IoV and V2X were highlighted.  ...  Another challenge is achieving fast and efficient communication between many different vehicles and smart devices called Vehicle-to-Everything (V2X).  ...  ML can achieve different video processing schemes in pixel level or higher-level representations obtained after additional preprocessing of raw images. e ML schemes enable the optimization of the process  ... 
doi:10.1155/2021/8868355 fatcat:z3bnxkaydvd5jl36dcgvta6xa4

Distributed Vehicular Computing at the Dawn of 5G: a Survey [article]

Ahmad Alhilal, Benjamin Finley, Tristan Braud, Dongzhe Su, Pan Hui
2022 arXiv   pre-print
Addressing such constraints introduces significant challenges for current communication and computing technologies.  ...  Recent advances in information technology have revolutionized the automotive industry, paving the way for next-generation smart vehicular mobility.  ...  An example of the benefits of OBUenabled cooperative perception is seen in vehicle overtaking situations.  ... 
arXiv:2001.07077v2 fatcat:ixgjkwdx6zdsvfcpviptpf32by

Predictive Quality of Service (PQoS): The Next Frontier for Fully Autonomous Systems [article]

Mate Boban, Marco Giordani, Michele Zorzi
2021 arXiv   pre-print
Then, we shed light on the challenges in the field that are still open for future research.  ...  Data sharing, while involving relatively loose latency (≤ 100 ms) and reliability (99%) requirements [10] , may imply multi-gigabits-per-second transmission rates for raw perception data.  ...  PQoS for Vehicle-to-Everything (V2X) Applications Autonomous driving systems have strict QoS requirements that need to be satisfied, despite the highly dynamic nature of the V2X environment.  ... 
arXiv:2109.09376v1 fatcat:6sxycl55rjaxth6dtuhmcjvygu

Intelligent Robotic Perception Systems [chapter]

Cristiano Premebida, Rares Ambrus, Zoltan-Csaba Marton
2018 Applications of Mobile Robots [Working Title]  
This chapter will cover recent and emerging topics and use-cases related to intelligent perception systems in robotics.  ...  Robotic perception is related to many applications in robotics where sensory data and artificial intelligence/machine learning (AI/ML) techniques are involved.  ...  ) and, more recently, cooperation (V2X-based communication technologies).  ... 
doi:10.5772/intechopen.79742 fatcat:zrvsznb3frcthl3pfy7r54kire

Role of Machine Learning in Resource Allocation Strategy over Vehicular Networks: A Survey

Ida Nurcahyani, Jeong Woo Lee
2021 Sensors  
The increasing demand for smart vehicles with many sensing capabilities will escalate data traffic in vehicular networks. Meanwhile, available network resources are limited.  ...  by implementing a cooperative scheduling mechanism RL Centralized [66] DRL-based decentralized resource allocation for C-V2X links to increase system capacity and satisfy QoS DRL Decentralized [67]  ...  Using the cooperative method, scheduling overhead and data collision probability can be reduced [63] .  ... 
doi:10.3390/s21196542 pmid:34640858 fatcat:6kzl53zterdcpexpvkinkvqqwe

Connected Vehicles: Technology Review, State of the Art, Challenges and Opportunities

Ghadeer Abdelkader, Khalid Elgazzar, Alaa Khamis
2021 Sensors  
Different challenges in terms of cooperative computation, privacy/security, and over-the-air updates are discussed.  ...  CVs create new data-rich environments and are considered key enablers for many applications and services that will make our roads safer, less congested, and more eco-friendly.  ...  Cooperative perception is foreseen as a potential approach that overcomes and improves the sensing-based technology limitations of CVs by allowing vehicles to exchange their local raw or processed sensor  ... 
doi:10.3390/s21227712 pmid:34833782 pmcid:PMC8622391 fatcat:rigbsfmpzbdbxmityfcosrzlfm

A Survey of Autonomous Vehicles: Enabling Communication Technologies and Challenges

M. Nadeem Ahangar, Qasim Z. Ahmed, Fahd A. Khan, Maryam Hafeez
2021 Sensors  
Then, various communication technologies for AVs to facilitate vehicle to everything (V2X) communication are discussed.  ...  Finally, the long-range group presents the cellular-vehicle to everything (C-V2X) and 5G-new radio (5G-NR).  ...  In addition, Mode-3 depends on centralised scheduling while Mode-4 is completely distributed.  ... 
doi:10.3390/s21030706 pmid:33494191 fatcat:drhtm37j7vbvvhvzoapr6t6s4u

Next-Generation Edge Computing Assisted Autonomous Driving Based Artificial Intelligence Algorithms

Hatem Ibn-Khedher, Mohammed Laroui, Hassine Moungla, Hossam Afifi, Emad Abd-Elrahman
2022 IEEE Access  
We insert Deep Learning modules at the network edge that collect, process, and analyze the raw data. Then, online decisions are taken in order to self-organize the network.  ...  Vehicles already had a number of functionalities for combining real-time sensing with perception and decision-making.  ... 
doi:10.1109/access.2022.3174548 fatcat:gzwvdk6uhrduvpha7chugp4qkm

Beam-based Mobility Management in 5G Millimetre Wave V2X Communications: A Survey and Outlook

Abdulkadir Kose, Haeyoung Lee, Chuan Heng Foh, Mehrdad Dianati
2021 IEEE Open Journal of Intelligent Transportation Systems  
This presents a major challenge that communication system engineers need to address to realise the promise of 5G systems for V2X and similar applications.  ...  INDEX TERMS Mobility, 5G mmWave, V2X. This work is licensed under a Creative Commons Attribution 4.0 License. For more information, see VOLUME 2, 2021 347  ...  ACKNOWLEDGMENT The authors would like to acknowledge the support of the 5GIC/6GIC members for this work.  ... 
doi:10.1109/ojits.2021.3112533 fatcat:zh7wg6nmajbsjltl2kjki76cpe

Federated Learning for Vehicular Internet of Things: Recent Advances and Open Issues

Zhaoyang Du, Celimuge Wu, Tsutomu Yoshinaga, Kok-Lim Alvin Yau, Yusheng Ji, Jie Li
2020 IEEE Computer Graphics and Applications  
FL can sufficiently utilize the computing capabilities of multiple learning agents to improve the learning efficiency while providing a better privacy solution for the data owners.  ...  Federated learning (FL) is a distributed machine learning approach that can achieve the purpose of collaborative learning from a large amount of data that belong to different parties without sharing the raw  ...  FIGURE 4 . 4 FL based perception for vehicular IoT.  ... 
doi:10.1109/ojcs.2020.2992630 pmid:32386144 fatcat:uic45awlkneihkybfu7wnc26me
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