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Updated README to make clustering approach for 3D vs 2D clear #21

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Praveen Palanisamy 2020-03-27 11:12:29 -07:00 committed by GitHub
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@ -10,7 +10,7 @@ PCL based ROS package to Detect/Cluster --> Track --> Classify static and dynami
### Features: ### Features:
- K-D tree based point cloud processing for object feature detection from point clouds - K-D tree based point cloud processing for object feature detection from point clouds
- Unsupervised k-means clustering based on detected features and refinement using RANSAC - Unsupervised euclidean cluster extraction (3D) or k-means clustering based on detected features and refinement using RANSAC (2D)
- Stable tracking (object ID & data association) with an ensemble of Kalman Filters - Stable tracking (object ID & data association) with an ensemble of Kalman Filters
- Robust compared to k-means clustering with mean-flow tracking - Robust compared to k-means clustering with mean-flow tracking