# paulyehtw/Lidar-and-Radar-sensor-fusion-with-Extended-Kalman-Filter

<https://repo.masters-masters.com/en/repos/paulyehtw/Lidar-and-Radar-sensor-fusion-with-Extended-Kalman-Filter>

[Home](https://repo.masters-masters.com/en) › [paulyehtw](https://repo.masters-masters.com/en/owners/paulyehtw) › [Lidar-and-Radar-sensor-fusion-with-Extended-Kalman-Filter](https://repo.masters-masters.com/en/repos/paulyehtw/Lidar-and-Radar-sensor-fusion-with-Extended-Kalman-Filter)

paulyehtw/Lidar-and-Radar-sensor-fusion-with-Extended-Kalman-Filter has 151 stars on GitHub. Its RepoMasters card: Prototype tier. Language: MATLAB.

| Field | Value |
| --- | --- |
| Owner | [paulyehtw](https://repo.masters-masters.com/en/owners/paulyehtw) |
| Stars | 151 |
| Forks | 56 |
| Language | [MATLAB](https://repo.masters-masters.com/en/languages/matlab) |
| License | None |
| Created | 2018 |
| Tier | [Prototype (100 to 249 ★)](https://repo.masters-masters.com/en/ranks/rush) |
| View on GitHub | [paulyehtw/Lidar-and-Radar-sensor-fusion-with-Extended-Kalman-Filter](https://github.com/paulyehtw/Lidar-and-Radar-sensor-fusion-with-Extended-Kalman-Filter) |

## Repository

Fusing Lidar and Radar data with Extended Kalman Filter (EKF)

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

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Data: GitHub · Illustration drawn by RepoMasters from the repo’s ID and its language color.