@article{DeloozWilleckeGarlichsetal.2022, author = {Delooz, Quentin and Willecke, Alexander and Garlichs, Keno and Hagau, Andreas-Christian and Wolf, Lars and Vinel, Alexey and Festag, Andreas}, title = {Analysis and Evaluation of Information Redundancy Mitigation for V2X Collective Perception}, volume = {10}, journal = {IEEE Access}, publisher = {IEEE}, address = {Piscataway}, issn = {2169-3536}, doi = {https://doi.org/10.1109/ACCESS.2022.3170029}, pages = {47076 -- 47093}, year = {2022}, abstract = {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 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.}, language = {en} } @article{GuentherRieblWolfetal.2018, author = {G{\"u}nther, Hendrik-J{\"o}rn and Riebl, Raphael and Wolf, Lars and Facchi, Christian}, title = {The effect of decentralized congestion control on collective perception in dense traffic scenarios}, volume = {2018}, journal = {Computer Communications}, number = {122}, publisher = {Elsevier}, address = {Amsterdam}, issn = {0140-3664}, doi = {https://doi.org/10.1016/j.comcom.2018.03.009}, pages = {76 -- 83}, year = {2018}, language = {en} } @inproceedings{GuentherRieblWolfetal.2017, author = {G{\"u}nther, Hendrik-J{\"o}rn and Riebl, Raphael and Wolf, Lars and Facchi, Christian}, title = {Collective perception and decentralized congestion control in vehicular ad-hoc networks}, booktitle = {2016 IEEE Vehicular Networking Conference (VNC)}, editor = {Altintas, Onur and Ekici, Eylem and Tsai, Michael and Sepulcre, Miguel and Bloessl, Bastian and Wei, Yu-Lin}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-1-5090-5197-7}, issn = {2157-9865}, doi = {https://doi.org/10.1109/VNC.2016.7835931}, year = {2017}, language = {en} } @inproceedings{RieblGuentherFacchietal.2015, author = {Riebl, Raphael and G{\"u}nther, Hendrik-J{\"o}rn and Facchi, Christian and Wolf, Lars}, title = {Artery: extending Veins for VANET applications}, booktitle = {2015 International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS)}, publisher = {IEEE}, address = {Piscataway}, isbn = {978-9-6331-3142-8}, doi = {https://doi.org/10.1109/MTITS.2015.7223293}, pages = {450 -- 456}, year = {2015}, language = {en} }