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8 changes: 4 additions & 4 deletions README.md
Original file line number Diff line number Diff line change
Expand Up @@ -13,7 +13,7 @@ The `radar_grid_map` node listens to radar sector messages, applies optional nea

The `particle_filter` node spawns particles with random position and course angle where radar returns are detected. It iteratively updates particle weights until the filter converges on a stable estimate of position and course for each target. Large blobs (e.g., shorelines) are filtered out based on a configurable `maximum_target_size`. The node continuously spawns new particles so the filter can quickly react to newly detected objects. A set of particle statistics is also published to optimize tracking performance.

Complete API documentation is available at:
Complete API documentation is available at:
👉 [https://seawardscience.github.io/echoflow/](https://seawardscience.github.io/echoflow/)

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Expand Down Expand Up @@ -304,7 +304,7 @@ The `radar_grid_map` includes the following layers:

- **edt** – Euclidean Distance Transform used to compute proximity to filtered targets.
- **intensity** – Raw radar return intensity.
- **targets** – The grid map filtered by the `maximum_target_size` parameter.
- **targets** – The grid map filtered by the `maximum_target_size` parameter.
- This is the input to the particle filter and the EDT computation.

![Radar grid map EDT visualization](docs/media/rviz/echoflow_rviz_radar_grid_map_edt.png)
Expand All @@ -318,7 +318,7 @@ This display shows an occupancy map of the current grid map, showing where on th

### Particle Cloud

This display shows a `PointCloud2` visualization of the particles spawned on the map.
This display shows a `PointCloud2` visualization of the particles spawned on the map.
You can select different channels as the color transform to visualize various particle metrics:

- **speed** – Particle's estimated speed.
Expand Down Expand Up @@ -379,7 +379,7 @@ All necessary packages can be installed by the following:

## License

This project is licensed under the [LICENSE](LICENSE) provided in this repository.
This project is licensed under the [LICENSE](https://github.com/SeawardScience/echoflow/blob/master/LICENSE) provided in this repository.

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