English

Managing Bandwidth: The Key to Cloud-Assisted Autonomous Driving

Networking and Internet Architecture 2024-10-22 v1 Computer Vision and Pattern Recognition Systems and Control Systems and Control

Abstract

Prevailing wisdom asserts that one cannot rely on the cloud for critical real-time control systems like self-driving cars. We argue that we can, and must. Following the trends of increasing model sizes, improvements in hardware, and evolving mobile networks, we identify an opportunity to offload parts of time-sensitive and latency-critical compute to the cloud. Doing so requires carefully allocating bandwidth to meet strict latency SLOs, while maximizing benefit to the car.

Keywords

Cite

@article{arxiv.2410.16227,
  title  = {Managing Bandwidth: The Key to Cloud-Assisted Autonomous Driving},
  author = {Alexander Krentsel and Peter Schafhalter and Joseph E. Gonzalez and Sylvia Ratnasamy and Scott Shenker and Ion Stoica},
  journal= {arXiv preprint arXiv:2410.16227},
  year   = {2024}
}

Comments

6 pages

R2 v1 2026-06-28T19:30:09.894Z