Proof-of-Concept of a SDN Based mmWave V2X Network for Safe Automated Driving

Li, Zongdian; Yu, Tao; Fukatsu, Ryuichi; Tran, Gia Khanh; Sakaguchi, Kei

doi:10.1109/globecom38437.2019.9014261

Cited by 22 publications

(24 citation statements)

References 22 publications

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“…However, safe overtaking was discussed only for comfortable braking. In [16], a proof-of-concept of cooperative perception using millimeter-wave communications was performed. It was shown that millimeter-wave communications have the ability of sharing raw sensor data.…”

Section: Related Workmentioning

confidence: 99%

Automated Driving with Cooperative Perception Using Millimeter-Wave V2V Communications for Safe Overtaking

Fukatsu

Sakaguchi

2021

Sensors

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The combination of onboard sensors on vehicles with wireless communication has great advantages over the conventional driving systems in terms of safety and reliability. This technique is often called cooperative perception. Cooperative perception is expected to compensate for blind spots in dynamic maps, which are caused by obstacles. Few blind spots in dynamic maps can improve the safety and reliability of driving thanks to the additional information beyond the sensing of the onboard sensors. In this paper, we analyzed the required sensor data rate to be exchanged for the cooperative perception in order to enable a new level of safe and reliable automated driving in overtaking scenario. The required sensor data rate was calculated by the combination of recognition and vehicle movement to adopt realistic assumptions. In the end of the paper, we compared the required sensor data rate with the outage data rate realized by the conventional V2V communication and millimeter-wave communication. The results showed the indispensability of millimeter-wave communications in automated driving systems.

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Section: Related Workmentioning

confidence: 99%

Automated Driving with Cooperative Perception Using Millimeter-Wave V2V Communications for Safe Overtaking

Fukatsu

Sakaguchi

2021

Sensors

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“…However, 700–900 Mbps was measured in the lab, which shows the potential of millimeter-wave communications. In [ 18 , 19 ], a proof-of-concept of cooperative perception using millimeter-wave communications was shown by sharing raw LiDAR sensor data. At the measurement part, the authors showed that approximately 900 Mbps was achieved.…”

Section: Related Workmentioning

confidence: 99%

“…Therefore, the control of the vehicle’s behavior such as velocity is performed by the vehicle itself. For example, in the proof-of-concept, we adopted dynamic network management based on the geographical location of a vehicle [ 18 ]. Since this analysis focuses on the relation between the performance of wireless communications and safe automated driving, we assumed the same simple communication rule as in the aforementioned work.…”

Section: Required Data Rate On V2i For Safe Crossingmentioning

confidence: 99%

Automated Driving with Cooperative Perception Based on CVFH and Millimeter-Wave V2I Communications for Safe and Efficient Passing through Intersections

Fukatsu

Sakaguchi

2021

Sensors

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The development of automated driving is actively progressing, and connected cars are also under development. Connected cars are the technology of connecting vehicles to networks so that connected vehicles can enhance their services. Safety services are among the main services expected in connected car society. Cooperative perception belongs to safety services and improves safety by visualizing blind spots. This visualization is achieved by sharing sensor data via wireless communications. Therefore, the number of visualized blind spots highly depends upon the performance of wireless communications. In this paper, we analyzed the required sensor data rate to be shared for the cooperative perception in order to realize safe and reliable automated driving in an intersection scenario. The required sensor data rate was calculated by the combination of recognition and crossing decisions of an automated driving vehicle to adopt realistic assumptions. In this calculation, CVFH was used to derive tight requirements, and the minimum required braking aims to alleviate the traffic congestion around the intersection. At the end of the paper, we compare the required sensor data rate with the outage data rate realized by conventional and millimeter-wave communications, and show that millimeter-wave communications can support safe crossing at a realistic velocity.

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“…MmWave, in fact, allows big data transmissions at gigabit per second transmission rates which might support CAVs gathering nearly 1 GB of sensor data per second [2]. Thinking to cooperative perception, mmWave can also help to cope with accuracy degradation of position estimation, especially at high vehicle speed [7], [19]. Compared to the sub-6 GHz channels, however, mmWave bands suffer of higher propagation losses and attenuation [10].…”

Section: Millimeter Waves and Higher Frequenciesmentioning

confidence: 99%

How to deal with data hungry V2X applications?

Bazzi

Campolo

Masini

et al. 2020

Proceedings of the Twenty-First International Symposium on Theory, Algorithmic Foundations, and Protocol Design for Mobile Netw

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Current vehicular communication technologies were designed for a so-called phase 1, where cars needed to advise of their presence. Several projects, research activities and field tests have proved their effectiveness to this scope. But entering the phase 2, where awareness needs to be improved with non-connected objects and vulnerable road users, and even more with phases 3 and 4, where also coordination is foreseen, the spectrum scarcity becomes a critical issue. In this work, we provide an overview of various 5G and beyond solutions currently under investigation that will be needed to tackle the challenge. We first recall the undergoing activities at the access layer aimed to satisfy capacity and bandwidth demands. We then discuss the role that emerging networking paradigms can play to improve vehicular data dissemination, while preventing congestion and better exploiting resources. Finally, we give a look into edge computing and machine learning techniques that will be determinant to efficiently process and mine the massive amounts of sensor data.

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Proof-of-Concept of a SDN Based mmWave V2X Network for Safe Automated Driving

Cited by 22 publications

References 22 publications

Automated Driving with Cooperative Perception Using Millimeter-Wave V2V Communications for Safe Overtaking

Automated Driving with Cooperative Perception Using Millimeter-Wave V2V Communications for Safe Overtaking

Automated Driving with Cooperative Perception Based on CVFH and Millimeter-Wave V2I Communications for Safe and Efficient Passing through Intersections

How to deal with data hungry V2X applications?

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