Performance and Network Architecture Options of Consolidated Object Data Service for Multi-RAT Vehicular Communication Commsignia Incorporated

Format:

Book

Conference/Event

Author/Creator:

Wippelhauser, András, author.

Contributor:

Chand, Arpita

Datta Gupta, Somak

Varadi, Andras

Conference Name:

WCX SAE World Congress Experience (2023-04-18 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2023

Summary:

With the proliferation of ADAS and autonomous systems, the quality and quantity of the data to be used by vehicles has become crucial. In-vehicle sensors are evolving, but their usability is limited to their field of view and detection distance. V2X communication systems solve these issues by creating a cooperative perception domain amongst road users and the infrastructure by communicating accurate, real-time information.In this paper, we propose a novel Consolidated Object Data Service (CODS) for multi-Radio Access Technology (RAT) V2X communication. This service collects information using BSM packets from the vehicular network and perception information from infrastructure-based sensors. The service then fuses the collected data, offering the communication participants with a consolidated, deduplicated, and accurate object database. Since fusing the objects is resource intensive, this service can save in-vehicle computation costs. The combination of diverse input sources improves the object detection accuracy, which can benefit the vehicle's ADAS or autonomous driving functions.A testbed was developed to evaluate the performance of the system under three network architectures local RSU, Edge and the Cloud. The CODS resided in virtual machines in the corresponding three locations. The OBUs and RSU used had multi-RAT (C-V2X PC5 and 5G Uu) connectivity. A connected thermal camera was used as the infrastructure sensor in our setup.The paper presents the performance evaluation of various CODS realizations, deployment details of the testbed on a live network and introduces our promising experimental results, explaining the trade-offs of the different deployment schemes and their effects on system fidelity and communication characteristics

Notes:

Vendor supplied data

Publisher Number:

2023-01-0857

Access Restriction:

Restricted for use by site license