Using Reinforcement Learning to Iteratively Construct Road Networks from Satellite Images and GPS Data

Gallardo, Isaiah

doi:10.1609/AAAI.V38I21.30548

Using Reinforcement Learning to Iteratively Construct Road Networks from Satellite Images and GPS Data

Isaiah Gallardo

AAAI 2024 pp. 23740-23741

doi:10.1609/AAAI.V38I21.30548 /aaai/2024/gallardo2024aaai-using/

Abstract

Constructing road networks manually is a time consuming and labor-intensive process. This paper proposes a new method to iteratively construct road networks using reinforcement learning from a combined tensor-based representation of satellite image and GPS trajectory data.

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Cite

Text

Gallardo. "Using Reinforcement Learning to Iteratively Construct Road Networks from Satellite Images and GPS Data." AAAI Conference on Artificial Intelligence, 2024. doi:10.1609/AAAI.V38I21.30548

Markdown

[Gallardo. "Using Reinforcement Learning to Iteratively Construct Road Networks from Satellite Images and GPS Data." AAAI Conference on Artificial Intelligence, 2024.](https://mlanthology.org/aaai/2024/gallardo2024aaai-using/) doi:10.1609/AAAI.V38I21.30548

BibTeX

@inproceedings{gallardo2024aaai-using,
  title     = {{Using Reinforcement Learning to Iteratively Construct Road Networks from Satellite Images and GPS Data}},
  author    = {Gallardo, Isaiah},
  booktitle = {AAAI Conference on Artificial Intelligence},
  year      = {2024},
  pages     = {23740-23741},
  doi       = {10.1609/AAAI.V38I21.30548},
  url       = {https://mlanthology.org/aaai/2024/gallardo2024aaai-using/}
}