Map It Anywhere: Empowering BEV Map Prediction using Large-scale Public Datasets

Cherie Ho, Jiaye Zou, Omar Alama, S. Kumar, Cheng-Yu Chiang +5 more
2/3/2026

No confident code implementation found for this paper.

Semantic Scholar

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — 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{ho2026anywhere,
  title  = {Map It Anywhere: Empowering BEV Map Prediction using Large-scale Public Datasets},
  author = {Cherie Ho and Jiaye Zou and Omar Alama and S. Kumar and Cheng-Yu Chiang and Taneesh Gupta and Chen Wang and Nikhil Varma Keetha and Katia P. Sycara and Sebastian A. Scherer},
  year   = {2026},
  url    = {https://www.semanticscholar.org/paper/3c4c7bfb72020f2123ea0b35b0bdcff09ba5f76c},
  journal = {NEURIPS 2024 2024}
}

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/3c4c7bfb72020f2123ea0b35b0bdcff09ba5f76c.svg)](https://codeofpaper.com/paper/3c4c7bfb72020f2123ea0b35b0bdcff09ba5f76c)

Discussion