# APRIL-ZJU/learn-to-calibrate

<https://repo.masters-masters.com/en/repos/APRIL-ZJU/learn-to-calibrate>

[Home](https://repo.masters-masters.com/en) › [APRIL-ZJU](https://repo.masters-masters.com/en/owners/APRIL-ZJU) › [learn-to-calibrate](https://repo.masters-masters.com/en/repos/APRIL-ZJU/learn-to-calibrate)

APRIL-ZJU/learn-to-calibrate has 150 stars on GitHub. Its RepoMasters card: Prototype tier. \[IROS2025\] The World's First RL-based Sensor Calibration Method: A…

| Field | Value |
| --- | --- |
| Owner | [APRIL-ZJU](https://repo.masters-masters.com/en/owners/APRIL-ZJU) |
| Stars | 150 |
| Forks | 10 |
| Language | [C++](https://repo.masters-masters.com/en/languages/c-plus-plus) |
| License | None |
| Created | 2025 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [APRIL-ZJU/learn-to-calibrate](https://github.com/APRIL-ZJU/learn-to-calibrate) |

## Repository

\[IROS2025\] The World's First RL-based Sensor Calibration Method: A Targetless, User-friendly, and Robust Approach.

The tier for repos with 100 to 249 ★. Published odds per card pulled: 70%. Rarity: Common.

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