Reproduce “PFL-LSTR: A privacy-preserving framework for driver intention inference based on in-vehicle and out-vehicle information” on OpenResearch

Turn your favorite coding agents into research agents that review literature, develop hypotheses, and run experiments.

Universal app for Apple silicon and Intel. Requires macOS 11 or later.

About this paper

Runjia Du, Pei Li, Sikai Chen, Samuel Labi

Tip: change arxiv.org to autoarxiv.org in any arXiv abstract link to open the paper here.