mlsanityData to 7 Oct 2026

Soar: Design and Deployment of A Smart Roadside Infrastructure System for Autonomous Driving

arXiv 2404.13786 ↗First posted 21 Apr 2024eess.SY cs.AI cs.DCcited by 4

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Abstract (arXiv)

Recently,smart roadside infrastructure (SRI) has demonstrated the potential of achieving fully autonomous driving systems. To explore the potential of infrastructure-assisted autonomous driving, this paper presents the design and deployment of Soar, the first end-to-end SRI system specifically designed to support autonomous driving systems. Soar consists of both software and hardware components carefully designed to overcome various system and physical challenges. Soar can leverage the existing operational infrastructure like street lampposts for a lower barrier of adoption. Soar adopts a new communication architecture that comprises a bi-directional multi-hop I2I network and a downlink I2V broadcast service, which are designed based on off-the-shelf 802.11ac interfaces in an integrated manner. Soar also features a hierarchical DL task management framework to achieve desirable load balancing among nodes and enable them to collaborate efficiently to run multiple data-intensive autonomous driving applications. We deployed a total of 18 Soar nodes on existing lampposts on campus, which have been operational for over two years. Our real-world evaluation shows that Soar can support a diverse set of autonomous driving applications and achieve desirable real-time performance and high communication reliability. Our findings and experiences in this work offer key insights into the development and deployment of next-generation smart roadside infrastructure and autonomous driving systems.

Key facts. Cited by 4 papers in the map (data through 7 Oct 2026). Builds on 9 of its 81 references that are in the map. First posted on arXiv 21 Apr 2024.

Builds on

9 of 81 references.

References · 9

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Cited by year (2026 to 7 Oct)

Citing papers per year: 2025: 2; 2026: 2.

4 papers.

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  1. 2024Accurate Cooperative Localization Utilizing LiDAR-equipped Roadside Infrastructure for Autonomous Driving
  2. 2021Optimal Placement of Roadside Infrastructure Sensors towards Safer Autonomous Vehicle Deployments
  3. 2026How Roadside Units Enhance Intersection Safety? Cooperative Autonomous Driving System Design and A Proof of Concept
  4. 2022AutoDRIVE: A Comprehensive, Flexible and Integrated Digital Twin Ecosystem for Enhancing Autonomous Driving Research and Education
  5. 2025AI-CDA4All: Democratizing Cooperative Autonomous Driving for All Drivers via Affordable Dash-cam Hardware and Open-source AI Software
  6. 2024Augmented Intelligence in Smart Intersections: Local Digital Twins-Assisted Hybrid Autonomous Driving
  7. 2022Romanus: Robust Task Offloading in Modular Multi-Sensor Autonomous Driving Systems
  8. 2025Research Challenges and Progress in the End-to-End V2X Cooperative Autonomous Driving Competition