I. Llatser, Alexander Geraldy, Guillaume Jornod, Yiwen Yang
{"title":"Poster: Safe V2X Communication for Cooperative Automated Driving","authors":"I. Llatser, Alexander Geraldy, Guillaume Jornod, Yiwen Yang","doi":"10.1109/VNC57357.2023.10136352","DOIUrl":"https://doi.org/10.1109/VNC57357.2023.10136352","url":null,"abstract":"V2X communication prepares to be an important enabler for Cooperative Automated Driving (CAD) use cases on the road as well as in special environments such as logistic yards or industrial plants. While safety in the vehicle is an established topic, V2X needs to evolve to support safe and reliable distributed driving functions across communication partners. The receiving vehicle must be able to decide if the data received is suitable to trigger a safety-critical automated maneuver (data qualification). Furthermore, the V2X messages must include information about the ability of the sender to support the maneuver (sender qualification). This work motivates the use of V2X for safety-critical CAD functions and present challenges and potential solutions to support resilient and distributed CAD systems in a safe way. Our goal is to encourage the discussion within the research community and to push the standardization of safe V2X communication protocols forward.","PeriodicalId":185840,"journal":{"name":"2023 IEEE Vehicular Networking Conference (VNC)","volume":" 7","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"120827909","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"An ETSI ITS-Compliant Formation Protocol to Support Long Heterogeneous Platoons","authors":"Saeid Sabamoniri, P. Santos, Luís Almeida","doi":"10.1109/VNC57357.2023.10136271","DOIUrl":"https://doi.org/10.1109/VNC57357.2023.10136271","url":null,"abstract":"As penetration of autonomous technology grows, vehicular platooning also becomes a reality with clear benefits on efficiency and traffic management. One can consider that platoons may grow to arbitrary lengths, limited solely by the ability of achieving reliable end-to-end communication. We introduce the Long Heterogeneous Platoon (LHP) protocol, meant to handle very long platoons composed of vehicles with different characteristics and facilities. It creates autonomous sub-units, sub-platoons, that facilitate platoon maneuvers and internal communication. Coordination is achieved by newly proposed ETSI ITS-compliant messages or containers; a key message is the Platoon Management Message. In this paper we describe the platoon formation and subplatoon creation procedures of the LHP protocol.","PeriodicalId":185840,"journal":{"name":"2023 IEEE Vehicular Networking Conference (VNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129735564","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Evaluating Intent Sharing Communication using Real Connected Vehicles","authors":"Hong Wang, S. Avedisov, O. Altintas, G. Orosz","doi":"10.1109/VNC57357.2023.10136329","DOIUrl":"https://doi.org/10.1109/VNC57357.2023.10136329","url":null,"abstract":"In this paper we experimentally evaluate intent sharing, an emerging vehicle-to-everything (V2X) communication class that allows vehicles to share their intended future motion. Using commercially available radios, we implement intent sharing messages according to two different realizations of vehicle intent: (i) bounds of kinematic variables over a time horizon; (ii) expected trajectory specified as target road segments. We test intent messages using real vehicles on highways both in rural and urban environments. The collected data is used to evaluate the performance in terms of packet delivery ratio. Furthermore, using numerical simulations, we reveal the benefits of intent sharing in resolving conflicts during cooperative maneuvers and investigate the effects of packet delivery ratio on the gained benefits.","PeriodicalId":185840,"journal":{"name":"2023 IEEE Vehicular Networking Conference (VNC)","volume":"22 8","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"113978389","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
S. Ishihara, Yu Chikamoto, Y. Tsutsumi, T. V. Pham
{"title":"Poster: Multi UVs-Based Narrow Sewer Inspection System - UVs Formation Control and Video Streaming","authors":"S. Ishihara, Yu Chikamoto, Y. Tsutsumi, T. V. Pham","doi":"10.1109/VNC57357.2023.10136331","DOIUrl":"https://doi.org/10.1109/VNC57357.2023.10136331","url":null,"abstract":"In the maintenance of sewer pipes, camera-based inspection using a wired robot is helpful, but handling the long and heavy cable is a problem. Thus, a wireless camera-based sewer inspection system has been desired. However, the communication range of Wi-Fi in narrow pipes is very short, so multi-hop communication is required for long-range inspection. We propose a UVs (Unmanned Vehicles) formation control method and a data transmission scheduling method for realizing video streaming from the leader UV minimizing the adverse effect of the hidden terminal problem in a multi-hop network and route update caused by the mobility of the UVs.","PeriodicalId":185840,"journal":{"name":"2023 IEEE Vehicular Networking Conference (VNC)","volume":"64 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"132367347","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Poster: A Case for Heterogenous Co-Simulation of Cooperative and Autonomous Driving","authors":"Tobias Hardes, Ion Turcanu, C. Sommer","doi":"10.1109/VNC57357.2023.10136319","DOIUrl":"https://doi.org/10.1109/VNC57357.2023.10136319","url":null,"abstract":"Many exciting future research topics in the field of Cooperative Autonomous Vehicles (CAVs) require the simulation of both connectivity and automation components. However, existing simulation tools focus on only one of these two aspects while making idealistic assumptions about the other. In this work, we motivate the use of established libraries such as gRPC to couple existing independent simulation tools tailored to either connectivity or automation, and demonstrate the feasibility of such an approach. We also describe an Open Source reference implementation coupling Carla and Veins.","PeriodicalId":185840,"journal":{"name":"2023 IEEE Vehicular Networking Conference (VNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134446630","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Yi Hung, Liang-Kuan Chou, Hsu-Huai Tsai, Hsi-Chuang Wang, Chung-Wei Lin, Baek-Hyeon Kim
{"title":"Edge-Assisted Service Allocation and Delivery for Connected Vehicles with Variable Velocities","authors":"Yi Hung, Liang-Kuan Chou, Hsu-Huai Tsai, Hsi-Chuang Wang, Chung-Wei Lin, Baek-Hyeon Kim","doi":"10.1109/VNC57357.2023.10136330","DOIUrl":"https://doi.org/10.1109/VNC57357.2023.10136330","url":null,"abstract":"Edge computing can support many services, such as driving assistance, autonomous driving, high-definition mapping, and entertainment, to connected vehicles. Compared with cloud computing, edge computing provides lower latency and better locality, but its more distributed architecture needs a delicate design to deliver services to moving vehicles at the right time and at the right place. In this paper, we focus on service allocation and delivery at edge servers, featuring vehicles with variable but bounded velocities as well as shared services with timing and freshness constraints. To solve the problem, we propose two types of diagrams to encode the timing when services should be allocated to edge servers to satisfy the requests generated by vehicles. We then develop an approach that iteratively selects requests, allocates services, updates the status of requests, and refines solutions. One novel feature of the approach is that, if there is no feasible solution, the approach computes and suggests the velocities of vehicles so that vehicles can follow the suggestions to slow down and guarantee to receive the services. Experimental results demonstrate the effectiveness and the real-time applicability of the proposed approach.","PeriodicalId":185840,"journal":{"name":"2023 IEEE Vehicular Networking Conference (VNC)","volume":"589 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131513575","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Valerio Cislaghi, C. Quadri, V. Mancuso, M. Marsan
{"title":"Simulation of Tele-Operated Driving over 5G Using CARLA and OMNeT++","authors":"Valerio Cislaghi, C. Quadri, V. Mancuso, M. Marsan","doi":"10.1109/VNC57357.2023.10136340","DOIUrl":"https://doi.org/10.1109/VNC57357.2023.10136340","url":null,"abstract":"Tele-Operated Driving (ToD) allows a remote operator to drive a vehicle through the services provided by a mobile radio network. ToD can replace on-board driving in many different occasions, such as dangerous environments, but can also provide assistance to autonomous driving systems in difficult and unexpected situations. ToD is a bandwidth-demanding and latency-sensitive service, which requires transmitting a large amount of sensor data from vehicle to operator, and driving instructions from operator to vehicle. The data exchange must comply with strict real-time requirements. The low latency and high bandwidth offered by 5G Radio Access Networks (RANs) open new opportunities for an effective deployment of ToD services in different contexts. However, the rapidly changing channel quality and network conditions can raise many challenges in meeting bandwidth and latency requirements. In this paper, we report on the development of an elaborate simulation framework combining the realism of vehicle dynamics simulated by CARLA and the detailed network models provided by OMNeT++. We demonstrate the capabilities of the simulation framework by describing results about the feasibility of ToD services in a simple scenario under different network and application configurations. We simulate the implementation of the ToD service in a slice of a 5G RAN, with varying application and network parameters, also considering a variable amount of background traffic. Our simulation results show that the ToD service performance is heavily impacted by the amount and shape (i.e., the selected 5G NR numerology) of radio resources allocated to the 5G slice.","PeriodicalId":185840,"journal":{"name":"2023 IEEE Vehicular Networking Conference (VNC)","volume":"73 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124791363","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Demo: Vehicular Micro Cloud Assisted Collaborative High-Definition Map Downloading","authors":"Seyhan Uçar, Takamasa Higuchi, O. Altintas","doi":"10.1109/VNC57357.2023.10136280","DOIUrl":"https://doi.org/10.1109/VNC57357.2023.10136280","url":null,"abstract":"Vehicular Micro Cloud (VMC) is a group of connected vehicles where they collaborate over vehicular networks. One potential use case of a VMC is a collaborative downloading service in which vehicles download data contents from a remote server and form VMCs to share them with other vehicles. In this paper, we study the feasibility of collaboratively downloading high-definition (HD) maps among VMC members. We demonstrate the benefits through field trials with multiple test vehicles. Our outdoor experiments showed that VMC-assisted collaborative downloading could reduce the communication overhead associated with HD map updates.","PeriodicalId":185840,"journal":{"name":"2023 IEEE Vehicular Networking Conference (VNC)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130784935","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Seyhan Uçar, Takamasa Higuchi, O. Altintas, K. Oguchi
{"title":"Remote Vehicular Micro Clouds","authors":"Seyhan Uçar, Takamasa Higuchi, O. Altintas, K. Oguchi","doi":"10.1109/VNC57357.2023.10136322","DOIUrl":"https://doi.org/10.1109/VNC57357.2023.10136322","url":null,"abstract":"Vehicular Micro Cloud (VMC) is a group of connected vehicles where vehicles collaborate on tasks through vehicular networks. The formation strategy of VMC generally relies on local communication in which the first vehicle (i.e., the micro cloud leader) communicates with other nearby cars (i.e., micro cloud members) and forms the VMC. Such a forming strategy is practical, but it may limit the benefits of VMC. Micro cloud leaders must be in the communication range of other vehicles to form VMCs and lead the collaboration. However, in some situations there may be a need to initiate micro clouds remotely. In this paper, we focus on remote VMCs. In remote VMCs, micro cloud leaders can form VMCs at remote locations and lead the collaboration remotely. We test the feasibility of remote VMCs through a simulation study in a risk reasoning use case. Extensive simulations demonstrate that remote VMCs could help vehicles to reduce collision risk.","PeriodicalId":185840,"journal":{"name":"2023 IEEE Vehicular Networking Conference (VNC)","volume":"31 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129179818","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Mahdi Fotouhi, Alessio Buscemi, Abdelwahab Boualouache, Florian Jomrich, Christian Koebel, T. Engel
{"title":"Assessing the Impact of Attacks on an Automotive Ethernet Time Synchronization Testbed","authors":"Mahdi Fotouhi, Alessio Buscemi, Abdelwahab Boualouache, Florian Jomrich, Christian Koebel, T. Engel","doi":"10.1109/VNC57357.2023.10136275","DOIUrl":"https://doi.org/10.1109/VNC57357.2023.10136275","url":null,"abstract":"Time Sensitive Network (TSN) standards are gaining traction in the scientific community and automotive Original Equipment Manufacturers (OEMs) due their promise of deterministic Ethernet networking. Among these standards, Generalized Precision Time Protocol (gPTP) - IEEE 802.1AS - allows network devices to be synchronized with a precision far higher than other synchronization standards, such as Network Time Protocol (NTP). gPTP is a profile of Precision Time Protocol (PTP) which, due to its robustness to delay variations, has been designated for automotive applications. Nonetheless, gPTP was designed without security controls, which makes it vulnerable to a number of attacks. This work reveals a critical vulnerability caused by a common implementation practice that opens the door to spoofing attacks on gPTP. To assess the impact of this vulnerability, we built two real gPTP-capable testbeds. Our results show high risks of this vulnerability destabilizing the system functionality.","PeriodicalId":185840,"journal":{"name":"2023 IEEE Vehicular Networking Conference (VNC)","volume":"26 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2023-04-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"122475371","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}