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Analysis and Evaluation of Information Redundancy Mitigation for V2X Collective Perception

  • Sensor data sharing enables vehicles to exchange locally perceived sensor data among each other and with the roadside infrastructure to increase their environmental awareness. It is commonly regarded as a next-generation vehicular communication service beyond the exchange of highly aggregated messages in the first generation. The approach is being considered in the European standardization process, where it relies on the exchange of locally detected objects representing anything safety-relevant, such as other vehicles or pedestrians, in periodically broadcasted messages to vehicles in direct communication range. Objects filtering methods for inclusion in a message are necessary to avoid overloading a channel and provoking unnecessary data processing. Initial studies provided in a pre-standardization report about sensor data sharing elaborated a first set of rules to filter objects based on their characteristics, such as their dynamics or type. However, these rules still lack the consideration of information received by other stationsSensor data sharing enables vehicles to exchange locally perceived sensor data among each other and with the roadside infrastructure to increase their environmental awareness. It is commonly regarded as a next-generation vehicular communication service beyond the exchange of highly aggregated messages in the first generation. The approach is being considered in the European standardization process, where it relies on the exchange of locally detected objects representing anything safety-relevant, such as other vehicles or pedestrians, in periodically broadcasted messages to vehicles in direct communication range. Objects filtering methods for inclusion in a message are necessary to avoid overloading a channel and provoking unnecessary data processing. Initial studies provided in a pre-standardization report about sensor data sharing elaborated a first set of rules to filter objects based on their characteristics, such as their dynamics or type. However, these rules still lack the consideration of information received by other stations to operate. Specifically, to address the problem of information redundancy, several rules have been proposed, but their performance has not been evaluated yet comprehensively. In the present work, the rules are further analyzed, assessed, and compared. Functional and operational requirements are investigated. A performance evaluation is realized by discrete-event simulations in a scenario for a representative city with realistic vehicle densities and mobility patterns. A score and other redundancy-level metrics are elaborated to ease the evaluation and comparison of the filtering rules. Finally, improvements and future works to the filtering methods are proposed.show moreshow less

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Metadaten
Author:Quentin DeloozORCiD, Alexander WilleckeORCiD, Keno GarlichsORCiD, Andreas-Christian Hagau, Lars WolfORCiD, Alexey VinelORCiD, Andreas FestagORCiD
Language:English
Document Type:Article
Year of first Publication:2022
published in (English):IEEE Access
Publisher:IEEE
Place of publication:Piscataway
ISSN:2169-3536
Volume:10
First Page:47076
Last Page:47093
Review:peer-review
Open Access:ja
Version:published
Tag:Collective perception; V2X communications; information redundancy mitigation; road safety; sensor data sharing
URN:urn:nbn:de:bvb:573-28662
Related Identifier:https://doi.org/10.1109/ACCESS.2022.3170029
Faculties / Institutes / Organizations:Fakultät Elektro- und Informationstechnik
CARISSMA Institute of Electric, Connected and Secure Mobility (C-ECOS)
Fraunhofer-Anwendungszentrum "Vernetzte Mobilität und Infrastruktur"
Licence (German):License Logo Creative Commons BY 4.0
Release Date:2022/09/30