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Online V2X Scheduling for Raw-Level Cooperative Perception
[article]
2022
arXiv
pre-print
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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]
2022
arXiv
pre-print
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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
2021
IEEE Access
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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
2020
IEEE Access
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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]
2022
arXiv
pre-print
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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
2021
Security and Communication Networks
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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]
2022
arXiv
pre-print
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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]
2021
arXiv
pre-print
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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]
2018
Applications of Mobile Robots [Working Title]
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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
2021
Sensors
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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
2021
Sensors
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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
2021
Sensors
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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
2022
IEEE Access
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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
2021
IEEE Open Journal of Intelligent Transportation Systems
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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 https://creativecommons.org/licenses/by/4.0/ 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
2020
IEEE Computer Graphics and Applications
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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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