Managing Bandwidth: The Key to Cloud-Assisted Autonomous Driving

Alexander Krentsel, Peter Schafhalter, Joseph E. Gonzalez, Sylvia Ratnasamy, Scott Shenker +1 more
10/21/2024
cs.NIcs.CVeess.SY

No confident code implementation found for this paper. 1 possible match can be shown below.

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.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. 1 weaker match is hidden by default — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Cite this paper

@article{krentsel2024managing,
  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},
  year   = {2024},
  eprint = {2410.16227},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2410.16227v1}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2410.16227.svg)](https://codeofpaper.com/paper/2410.16227)

Discussion