CAMAF: A framework to increase safety on the road

Charpentier, Vincent; Silva, Erik de Britto e; Hadiwardoyo, Seilendria A.; Marquez-Barja, Johann M.

doi:10.1109/ccnc49033.2022.9700523

Cited by 2 publications

(5 citation statements)

References 6 publications

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“…In deployments, it would be interesting adapt the current messages to sensor data such as serialized video or lidar streams, in order to run computational expensive calculations in the edge while driving. A great example is running intelligent applications like CAMAF [19]. The CAMAF core (CAM message processor) can be ran in the edge, while the results to be shown on the display to the user are being sent over ITS-G5, LTE-V2X PC5 or 5G.…”

Section: Future Workmentioning

confidence: 99%

The testing framework for Vehicular Edge Computing and Communications on the Smart Highway

Verschoor

Charpentier²,

Slamnik-Kriještorac

et al. 2023

2023 IEEE 20th Consumer Communications &Amp; Networking Conference (CCNC)

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Vehicular Edge Computing (VEC) brings cloud infrastructure to the vehicular edge, resulting in better performances and avoiding network congestions. In this workin-progress paper, the benefits of edge computing over cloud computing are discussed in a vehicular environment context, and they are leveraged by creating a Cooperative, Connected and Automated Mobility (CCAM) performance measurement framework. This measurement tool can follow vehicles by moving across different devices, enabling measurements on Key Performance Indicators (KPIs) using edge computing. We already used this tool to evaluate latencies of both a stationary and driving vehicle, moving over the Smart Highway testbed in Antwerp, Belgium. When driving, smart-edge-following algorithms can be deployed to choose the nearest Road Side Unit (RSU) using broadcasted Cooperative Awareness Messages (CAMs) of the vehicle. While driving on the Smart Highway, the application monitors important performance metrics such as throughput, latency, packet loss, packet delivery rate and more. We compare short-range vehicular communications technologies on the Smart Highway (ITS-G5 and LTE-V2X PC5) against the cellular. Our preliminary results demonstrate the benefits in terms of latency by using short-range communications technologies in VEC applications. These results validate that moving applications to the edge is truly beneficial, since our results confirmed up to 90% lower latency using ITS-G5, up to 50% using LTE-V2X PC5. Future deployments of 5G in the Smart Highway are planned, which would further improve the performance edge computing technologies.

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Section: Future Workmentioning

confidence: 99%

The testing framework for Vehicular Edge Computing and Communications on the Smart Highway

Verschoor

Charpentier²,

Slamnik-Kriještorac

et al. 2023

2023 IEEE 20th Consumer Communications &Amp; Networking Conference (CCNC)

Self Cite

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“…If we know that by 2050, 70% of the population will be living in smart cities 4 , it is then critical that VRUs (i.e., pedestrians, cyclists, motorcyclists, road workers, wheelchair users, scooters, etc) are also connected with the ITS-network, and vice versa and thus be able to communicate with UAVs to increase safety. In this way VRUs can make them self digitally aware to the UAV traffic, this is needed since VRUs can not anymore make physical eye-contact with the driver since it are UAVs and thus have no human driver to make eye-contact with.…”

Section: Connecting Uavs With Vrusmentioning

confidence: 99%

“…A pending research question also acknowledged by 5GAA and academia is to find innovative ways to process the received CCAM messages [4,12,18,24]. Since the current research challenges are for example, what can UAVs or VRUs do with the received CCAM message?…”

Section: Ccam Message Processormentioning

confidence: 99%

“…The aforementioned challenge will be enabled by the CCAM message processor such that research can be performed on state of the art (AI) algorithms for each individual CCAM entity. Furthermore, an existing solution such as the CAM Application Framework (CAMAF) exists for the processing of CAM messages [4].…”

Section: Ccam Message Processormentioning

confidence: 99%

“…The absence of research to generate real-time and real-life valid CCAM messages for vehicles and VRUs. The lack of guidance on processing the CCAM messages to ultimately find relations in the received CCAM messages [4]. The missing guidance on the needed technology infrastructures (in ITS-networks) for governance.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A proposal on a Connected Automated Mobility (CAM) communication system for (U)AVs

Charpentier

Slamnik-Kriještorac

Márquez-Barja

et al. 2022

Proceedings of the 2022 ACM Conference on Information Technology for Social Good

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The next generation of vehicular communications has the potential to interconnect Unmanned Automated Vehicles (UAVs), which are the level 5 autonomous vehicles, with its nearby surroundings including Vulnerable Road Users (VRUs), other UAVs, and roadside infrastructure. Given the increased interest in the demand of autonomous driving and Cooperative Connected and Automated Mobility (CCAM), the future UAVs will be safer through enabling communication between UAVs themselves and with their surroundings e.g., VRUs. Communication between UAVs and VRUs will be needed since VRUs will not be able to make a physical eye-contact with the UAVs since their is no physical driver anymore behind the steering wheel. In this way the VRUs can make themselves digitally aware in the UAV traffic and vice versa. Such that UAVs will not be isolated black boxes, i.e., operating and relying fully on their embedded sensors, to its surrounding UAVs and VRUs. This paper shows the current and future needs for autonomous vehicular communication between UAVs and VRUs. Therefore, we present the current trends in the vehicular communication domain and its research challenges. We propose a solution to enable communication between semi-autonomous vehicles, UAVs and their surrounding e.g., VRUs. In our paper, we provide also an early initial proposal to fuse the Vehicle-to-everything (V2X) communication with the embedded autonomous software in the autonomous vehicle.

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CAMAF: A framework to increase safety on the road

Cited by 2 publications

References 6 publications

The testing framework for Vehicular Edge Computing and Communications on the Smart Highway

The testing framework for Vehicular Edge Computing and Communications on the Smart Highway

A proposal on a Connected Automated Mobility (CAM) communication system for (U)AVs

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