Lennart Reiher

RWTH Aachen University

Papers

5

Total Citations

44

H-Index

4

About

Lennart Reiher is a researcher working at the intersection of automated mobility, cooperative intelligent transport systems (C-ITS), and distributed software architectures. His work addresses some of the most pressing technical challenges in enabling fully autonomous vehicles, particularly around Vehicle-to-Everything (V2X) communication, edge-cloud computing, and scalable robotic software deployment. Reiher's most recognized contribution explores MQTT-based connectivity interfaces evaluated in 5G environments for edge-cloud LiDAR object detection, garnering 14 citations and demonstrating practical pathways for low-latency, high-bandwidth vehicle communication. His V2AIX dataset — a multi-modal real-world collection of ETSI ITS V2X messages captured in public road traffic — has attracted 14 combined citations across multiple publications, offering the research community a valuable benchmark resource for connected mobility research. Beyond communication protocols, Reiher has made notable contributions to software infrastructure for large-scale robotic systems. His RobotKube framework, which integrates Kubernetes and ROS for orchestrating cooperative multi-robot systems, reflects his broader interest in microservice architectures for cyber-physical systems. His work on automated containerization of robotic applications further demonstrates his commitment to streamlining DevOps processes for next-generation autonomous systems, making him a notable emerging voice in intelligent transportation research.

Research Focus

Key Achievements

4
H-Index
5
Papers
44
Total Citations
9
Avg Citations/Paper
🏆 Most Cited Paper
Enabling Connectivity for Automated Mobility: A Novel MQTT-based Interface Evaluated in a 5G Case Study on Edge-Cloud Lidar Object Detection
14 citations · 2022
📈 Most Prolific Year: 2024 (3 Papers)
🤝 Key Collaborators: 8
🏛 Institutions: RWTH Aachen University

Top Papers

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Key Collaborators

Contact & Links

Available for collaboration
Content generated · 13 days ago