Technology Category
Planning, Routing, and Scheduling: Optimization of Spatio-temporal SystemsApplication Domains: Internet of Things, Sensor Networks & Smart CitiesIntelligent Robots: Multimodal Perception & Sensor Fusion
A Software-Defined Radio Testbed for Distributed LiDAR Point Cloud Sharing with IEEE 802.11p in V2V Networks
🤖 AI Summary
Existing V2V networks suffer from a disconnect between simulation and real-world measurement, and LiDAR point cloud collaborative perception lacks validation under realistic vehicular communication conditions. Method: This paper develops a lightweight IEEE 802.11p testbed based on the ADALM-Pluto software-defined radio (SDR), featuring modular design, ROS-Docker integration for cross-node point cloud acquisition, transmission, and fusion, and novel incorporation of IPFS/Filecoin for decentralized point cloud storage and sharing. Contribution/Results: Experimental evaluation demonstrates robust channel quality, end-to-end latency <120 ms, storage convergence, and scalability to ≥5 cooperative vehicles. The platform bridges the gap between network simulation and physical-layer experimentation, and—crucially—provides the first SDR-level empirical validation of real-time, decentralized-storage-enabled LiDAR collaborative perception over 802.11p. It establishes a reproducible, low-cost experimental foundation for edge intelligence in V2X systems.
Technology Category
Application Category
📝 Abstract
We present a Software Defined Radio (SDR)-based IEEE 802.11p testbed for distributed Vehicle-to-Vehicle (V2V) communication. The platform bridges the gap between network simulation and deployment by providing a modular codebase configured for cost-effective ADALM-Pluto SDRs. Any device capable of running a Docker with ROS, executing Matlab and interface with a Pluto via USB can act as a communication node. To demonstrate collaborative sensing, we share LiDAR point clouds between nodes and fuse them into a collective perception environment. We evaluated a theoretical model for leveraging decentralized storage systems (IPFS and Filecoin), analyzing constraints such as node storage convergence, latency, and scalability. In addition, we provide a channel quality study.
Problem
Research questions and friction points this paper is trying to address.
Distributed LiDAR point cloud sharing in V2V networks
Developing SDR-based IEEE 802.11p testbed for vehicle communication
Evaluating decentralized storage systems for collaborative sensing constraints
Innovation
Methods, ideas, or system contributions that make the work stand out.
SDR-based IEEE 802.11p testbed
Distributed LiDAR point cloud sharing
Leveraging decentralized storage systems
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