# Odometry on Botanical Dataset botanical01

Source: [Odometry on Botanical Dataset botanical01](<https://www.sota2.com/research/sota/odometry-on-botanical-dataset-botanical01>)

Collection index: [llms.txt](<https://www.sota2.com/research/llms.txt>)

Data updated: 2026-04-07T08:27:04.322Z

Evaluation of Odometry performance on the Botanical Dataset botanical01, reporting Root Mean Square Error (RMSE).

A research result applies to its stated dataset, split, metric and evaluation configuration. Compare like-for-like settings, preserve the metric's unit and direction, and distinguish paper-reported results from independent reproduction. The best result recorded here is not a claim of exhaustive, current global coverage.

| Scope | Recorded value |
| --- | --- |
| Task | Odometry |
| Dataset (including any stated split) | Botanical Dataset botanical01 |
| Metric | RMSE |
| Unit | SCALAR |
| Direction | Lower is better |
| Results loaded | 3 of 3 |
| Coverage | All results currently returned for this benchmark |

Evaluation settings may differ between results. The original papers and recorded configurations are needed to establish comparability. A shared metric name alone does not establish an identical protocol.

## Metrics

- [RMSE](<https://www.sota2.com/research/sota/odometry-on-botanical-dataset-botanical01.md?metric=RMSE>): Lower is better; unit: SCALAR.

## Recorded results

| Method | RMSE | Result date | Report paper |
| --- | --- | --- | --- |
| CT-VLIO | 1.711 | Not recorded | 69d48f697d0172140ec741b1 |
| CT-VLO | 1.723 | Not recorded | 69d48f697d0172140ec741b1 |
| F-LIO2 | 1.853 | Not recorded | 69d48f697d0172140ec741b1 |

### CT-VLIO

RMSE: 1.711. Result ID: 69d4bfbb47f34ce924bc8545.

[Reporting paper](<https://www.sota2.com/research/paper/69d48f697d0172140ec741b1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69d48f697d0172140ec741b1.md>)

Recorded evaluation configuration: {"Robot Platform":"wheel-legged","LiDAR Sensor":"Livox-Mid 360"}. This record does not assert independent reproduction.

### CT-VLO

RMSE: 1.723. Result ID: 69d4bfbb47f34ce924bc8544.

[Reporting paper](<https://www.sota2.com/research/paper/69d48f697d0172140ec741b1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/69d48f697d0172140ec741b1.md>)

Recorded evaluation configuration: {"Robot Platform":"wheel-legged","LiDAR Sensor":"Livox-Mid 360"}. This record does not assert independent reproduction.

### F-LIO2

RMSE: 1.853. Result ID: 69d4bfbb47f34ce924bc8543.

[Reporting paper](<https://www.sota2.com/research/paper/69d48f697d0172140ec741b1.md>)

[Method origin paper](<https://www.sota2.com/research/paper/68fa6a5f1e209131cea27cc2.md>)

Recorded evaluation configuration: {"Robot Platform":"wheel-legged","LiDAR Sensor":"Livox-Mid 360"}. This record does not assert independent reproduction.

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