TY - JOUR A1 - Delooz, Quentin A1 - Willecke, Alexander A1 - Garlichs, Keno A1 - Hagau, Andreas-Christian A1 - Wolf, Lars A1 - Vinel, Alexey A1 - Festag, Andreas T1 - Analysis and Evaluation of Information Redundancy Mitigation for V2X Collective Perception JF - IEEE Access N2 - 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. UR - https://doi.org/10.1109/ACCESS.2022.3170029 KW - Collective perception KW - information redundancy mitigation KW - road safety KW - sensor data sharing KW - V2X communications Y1 - 2022 UR - https://doi.org/10.1109/ACCESS.2022.3170029 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-28662 SN - 2169-3536 VL - 10 SP - 47076 EP - 47093 PB - IEEE CY - New York ER - TY - JOUR A1 - Delooz, Quentin A1 - Festag, Andreas A1 - Vinel, Alexey T1 - Congestion Aware Objects Filtering for Collective Perception JF - Electronic Communications of the EASST N2 - This paper addresses collective perception for connected and automated driving. It proposes the adaptation of filtering rules based on the currently available channel resources, referred to as Enhanced DCC-Aware Filtering (EDAF). UR - http://dx.doi.org/10.14279/tuj.eceasst.80.1160 KW - V2X KW - Decentralized Congestion Control KW - Collective Perception Y1 - 2021 UR - http://dx.doi.org/10.14279/tuj.eceasst.80.1160 UR - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:573-14761 SN - 1863-2122 VL - 80 PB - TU Berlin CY - Berlin ER - TY - CHAP A1 - Delooz, Quentin A1 - Riebl, Raphael A1 - Festag, Andreas A1 - Vinel, Alexey T1 - Design and Performance of Congestion-Aware Collective Perception T2 - 2020 IEEE Vehicular Networking Conference (VNC) UR - https://doi.org/10.1109/VNC51378.2020.9318335 KW - Logic gates KW - Wireless sensor networks KW - Wireless communication KW - Europe KW - Vehicle dynamics KW - Standards KW - Safety Y1 - 2021 UR - https://doi.org/10.1109/VNC51378.2020.9318335 SN - 978-1-7281-9221-5 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Delooz, Quentin A1 - Festag, Andreas A1 - Vinel, Alexey A1 - Lobo, Silas T1 - Simulation-Based Performance Optimization of V2X Collective Perception by Adaptive Object Filtering T2 - 2023 IEEE Intelligent Vehicles Symposium (IV): Proceedings UR - https://doi.org/10.1109/IV55152.2023.10186788 KW - V2X KW - sensor data sharing KW - vehicular communications KW - Collective Perception KW - message generation Y1 - 2023 UR - https://doi.org/10.1109/IV55152.2023.10186788 SN - 979-8-3503-4691-6 PB - IEEE CY - Piscataway ER - TY - CHAP A1 - Delooz, Quentin A1 - Festag, Andreas A1 - Vinel, Alexey T1 - Revisiting Message Generation Strategies for Collective Perception in Connected and Automated Driving T2 - VEHICULAR 2020: The Ninth International Conference on Advances in Vehicular Systems, Technologies and Applications Y1 - 2020 UR - https://www.thinkmind.org/index.php?view=article&articleid=vehicular_2020_1_80_30039 SN - 978-1-61208-795-5 SP - 46 EP - 52 PB - IARIA CY - [s. l.] ER - TY - JOUR A1 - Delooz, Quentin A1 - Vinel, Alexey A1 - Festag, Andreas T1 - Optimizing the channel resource usage for sensor data sharing with V2X communications JF - at - Automatisierungstechnik UR - https://doi.org/10.1515/auto-2022-0162 KW - V2X communications KW - sensor data sharing KW - Cooperative ITS KW - Intelligent Transport Systems Y1 - 2023 UR - https://doi.org/10.1515/auto-2022-0162 SN - 2196-677X VL - 71 IS - 4 SP - 311 EP - 317 PB - De Gruyter CY - Berlin ER -