Edmir Xhoxhi, M. Sc.
Edmir Xhoxhi, M. Sc.
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Appelstraße 9a
30167 Hannover
30167 Hannover
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Edmir Xhoxhi, M. Sc.
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Persönliche Informationen
Curriculum Vitae
Edmir Xhoxhi received his Master's degree in electrical engineering and information technology, with an emphasis on communication engineering from Leibniz University Hanover in 2019.
Since March of 2020, he has been working as a research assistant towards a doctoral degree. Currently, he is also part of the “Social Cars” research training group, with a focus on mobility and transportation solutions.
Research Interests
- Car-to-X communication
- Maneuver planning
- Platooning application and beaconing strategies
Teaching
Student Laboratory „IOT communication technologies“
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Publikationsliste
Konferenzbeiträge
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(2024): Mitigating Vulnerable Road Users Occlusion Risk Via Collective Perception: An Empirical Analysis, Accepted for 35th IEEE Intelligent Vehicles Symposium 2024
arXiv: 2404.07753 -
(2024): An Application Layer Multi-Hop Collective Perception Service for Vehicular Adhoc Networks, Accepted for 35th IEEE Intelligent Vehicles Symposium 2024
arXiv: 2404.07761 -
(2024): A Data-Driven Analysis of Vulnerable Road User Safety in Interaction with Connected Automated Vehicles, Accepted for 15th IEEE Vehicular Networking Conference 2024
arXiv: 2404.14935 -
(2024): Vulnerable Road User Clustering for Collective Perception Messages: Efficient Representation Through Geometric Shapes, Accepted for 15th IEEE Vehicular Networking Conference 2024
arXiv: 2404.14925 -
(2023): On the Coexistence of Maneuver Coordination Service with Use-Case Specific Applications, IEEE Vehicular Networking Conference 2023 (IEEE VNC 2023)
DOI: 10.1109/VNC57357.2023.10136274 -
(2023): Message Generation Algorithm for Maneuver Coordination Based on Value of Information, IEEE Vehicular Technology Conference (IEEE VTC-Spring 2023)
DOI: 10.1109/VTC2023-Spring57618.2023.10199647 -
(2023): Application-Oriented Resource Orchestration Algorithm for Connected Vehicles, IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2023)
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(2023): A First Study on the Spectrum Needs for Release 2 V2X Services, IEEE Vehicular Technology Conference (IEEE VTC-Fall 2023)
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(2023): LiDaSim: A Lightweight Dataset-Based Simulation Framework for Vehicular Ad Hoc Networks, IEEE Vehicular Technology Conference (IEEE VTC-Fall 2023)
DOI: 10.1109/VTC2023-Fall60731.2023.10333499 -
(2023): Accounting for the Special Role of Infrastructure-assisted Collective Perception, IEEE Internation Conference on Intelligent Transportation Systems (IEEE ITSC 2023)
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(2022): Benefits of DCC Facilities in ITS-G5 Networks - First Simulated Results, IEEE 95th Vehicular Technology Conference (VTC2022-Spring)
DOI: 10.1109/VTC2022-Spring54318.2022.9860904
Diplom-/Masterarbeiten
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