Cooperative RADAR Sensors for the Digital Test Field A9 (KoRA9): Algorithmic Recap and Lessons Learned
S\"oren Kohnert, Julian St\"ahler, Reinhard Stolle, and Florian, Geissler

TL;DR
This paper discusses a radar sensor network system with edge processing for infrastructure-to-vehicle sensing, presenting measurements, system architecture, and lessons learned to improve digital test fields.
Contribution
It introduces a novel radar sensor network system with edge processing for enhanced infrastructure-to-vehicle data collection and analysis.
Findings
Demonstrated effective sensor data fusion from multiple radars
Provided insights into system architecture for infrastructure sensing
Shared lessons learned for future deployment and improvements
Abstract
Infrastructure sensing systems in combination with Infrastructure-to-Vehicle communication can be used to enhance sensor data obtained from the perspective of a vehicle, only. This paper presents a system consisting of a radar sensor network installed at the side of the street, together with an Edge Processing Unit to fuse the data of different sensors. Measurements taken by the demonstrator are shown, the system architecture is discussed, and some lessons learned are presented.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
