Keno Garlichs
Orcid: 0000-0002-5874-6417
According to our database1,
Keno Garlichs
authored at least 20 papers
between 2017 and 2024.
Collaborative distances:
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Bibliography
2024
IEEE Trans. Intell. Transp. Syst., July, 2024
Proceedings of the IEEE Vehicular Networking Conference, 2024
Shuttle2X -Overcoming Operational Borders of Autonomous Shuttles by Infrastructure Support.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2024
2023
Efficient Message Dissemination in Cooperative Vehicular Networks (Effiziente Nachrichtenverbreitung in kooperativen Fahrzeugnetzwerken)
PhD thesis, 2023
IEEE Intell. Transp. Syst. Mag., 2023
Proceedings of the 97th IEEE Vehicular Technology Conference, 2023
Proceedings of the IEEE Vehicular Networking Conference, 2023
2022
Analysis and Evaluation of Information Redundancy Mitigation for V2X Collective Perception.
IEEE Access, 2022
2021
Vulnerable Road Users Are Important As Well: Persons in the Collective Perception Service.
Proceedings of the 13th IEEE Vehicular Networking Conference, 2021
Proceedings of the IEEE Intelligent Vehicles Symposium, 2021
2020
Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020
Leveraging the Collective Perception Service for CAM Information Aggregation at Intersections.
Proceedings of the 92nd IEEE Vehicular Technology Conference, 2020
Proceedings of the IEEE Vehicular Networking Conference, 2020
2019
Proceedings of the 2019 IEEE Vehicular Networking Conference, 2019
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Proceedings of the Mission-Oriented Sensor Networks and Systems: Art and Science, 2019
2018
Proceedings of the 2018 IEEE Vehicular Networking Conference, 2018
AIRCoN-Stack - Introducing Flexibility to Wireless Industrial Real-Time Applications.
Proceedings of the 2018 Workshop on Networking for Emerging Applications and Technologies, 2018
Proceedings of the 15th IEEE Annual Consumer Communications & Networking Conference, 2018
2017
A sub-microsecond clock synchronization protocol for wireless industrial monitoring and control networks.
Proceedings of the IEEE International Conference on Industrial Technology, 2017