From 42dc9d1861948af62195b76c58e3413de60a3501 Mon Sep 17 00:00:00 2001 From: =?UTF-8?q?Ern=C5=91=20Horv=C3=A1th?= Date: Thu, 21 Nov 2024 12:05:23 +0100 Subject: [PATCH] fixed pre-commit error: 1 dead links found: github.com/irapkaist/SC-LeGO-LOAM irapkaist is moved --- .../creating-maps/open-source-slam/index.md | 2 +- 1 file changed, 1 insertion(+), 1 deletion(-) diff --git a/docs/how-to-guides/integrating-autoware/creating-maps/open-source-slam/index.md b/docs/how-to-guides/integrating-autoware/creating-maps/open-source-slam/index.md index 93aa310b0c..ed4c74b2d5 100644 --- a/docs/how-to-guides/integrating-autoware/creating-maps/open-source-slam/index.md +++ b/docs/how-to-guides/integrating-autoware/creating-maps/open-source-slam/index.md @@ -35,4 +35,4 @@ Most of these algorithms already have a built-in loop-closure and pose graph opt | LeGO-LOAM-BOR | LeGO-LOAM-BOR is improved version of the LeGO-LOAM by improving quality of the code, making it more readable and consistent. Also, performance is improved by converting processes to multi-threaded approach | [github.com/facontidavide/LeGO-LOAM-BOR](https://github.com/facontidavide/LeGO-LOAM-BOR) ROS2 fork: [/github.com/eperdices/LeGO-LOAM-SR](https://github.com/eperdices/LeGO-LOAM-SR) | ✔️ | Lidar
IMU | ROS 1
**ROS 2** | ROS 1/2
PCL
GTSAM | | Optimized-SC-F-LOAM | An improved version of F-LOAM and uses an adaptive threshold to further judge the loop closure detection results and reducing false loop closure detections. Also it uses feature point-based matching to calculate the constraints between a pair of loop closure frame point clouds and decreases time consumption of constructing loop frame constraints | [github.com/SlamCabbage/Optimized-SC-F-LOAM](https://github.com/SlamCabbage/Optimized-SC-F-LOAM) | ✔️ | Lidar | ROS 1 | PCL
GTSAM
Ceres | | SC-A-LOAM | A real-time LiDAR SLAM package that integrates A-LOAM and ScanContext. | [github.com/gisbi-kim/SC-A-LOAM](https://github.com/gisbi-kim/SC-A-LOAM) | ✔️ | Lidar | ROS 1 | GTSAM >= 4.0 | -| SC-LeGO-LOAM | SC-LeGO-LOAM integrated LeGO-LOAM for lidar odometry and 2 different loop closure methods: ScanContext and Radius search based loop closure. While ScanContext is correcting large drifts, radius search based method is good for fine-stitching | [github.com/irapkaist/SC-LeGO-LOAM](https://github.com/irapkaist/SC-LeGO-LOAM) | ✔️ | Lidar
IMU | ROS 1 | PCL
GTSAM | +| SC-LeGO-LOAM | SC-LeGO-LOAM integrated LeGO-LOAM for lidar odometry and 2 different loop closure methods: ScanContext and Radius search based loop closure. While ScanContext is correcting large drifts, radius search based method is good for fine-stitching | [github.com/gisbi-kim/SC-LeGO-LOAM](https://github.com/gisbi-kim/SC-LeGO-LOAM) | ✔️ | Lidar
IMU | ROS 1 | PCL
GTSAM |