@@ -41,6 +41,33 @@ Get PDF [here](https://arxiv.org/abs/2311.13976).
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The authors gratefully acknowledge funding by the Federal Office of Bundeswehr Equipment, Information Technology and In-Service Support (BAAINBw).
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+ ## Overview
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+ - [ Examples] ( #examples )
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+ - [ Run it yourself] ( #run-it-yourself )
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+ - [ 1. Download Sensor Data] ( #1-download-sensor-data )
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+ - [ 1.1. SemanticKitti] ( #11-semantickitti )
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+ - [ 1.2. Rosbag of our test vehicle VW Touareg] ( #12-rosbag-of-our-test-vehicle-vw-touareg )
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+ - [ 2. Setup Environment] ( #2-setup-environment )
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+ - [ 2.1. Option: Docker + GUI (VNC)] ( #21-option-docker--gui-vnc )
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+ - [ 2.2. Option: Locally on Ubuntu 20.04 (Focal) and ROS Noetic] ( #22-option-locally-on-ubuntu-2004-focal-and-ros-noetic )
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+ - [ 3. Run Continuous Clustering] ( #3-run-continuous-clustering )
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+ - [ Evaluation on SemanticKITTI Dataset] ( #evaluation-on-semantickitti-dataset )
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+ - [ 1. Evaluation Results] ( #1-evaluation-results )
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+ - [ 1.1. Clustering] ( #11-clustering )
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+ - [ 1.2. Ground Point Segmentation] ( #12-ground-point-segmentation )
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+ - [ 2. Get Ground Truth Labels] ( #2-get-ground-truth-labels )
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+ - [ 2.1. Option: Download pre-generated labels] ( #21-option-download-pre-generated-labels-fastest )
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+ - [ 2.2. Option: Generate with GUI & ROS setup] ( #22-option-generate-with-gui--ros-setup-assumes-prepared-ros-setup-see-above-useful-for-debugging-etc )
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+ - [ 2.3. Option: Generate without GUI or ROS within Minimal Docker Container] ( #23-option-generate-without-gui-or-ros-within-minimal-docker-container )
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+ - [ 3. Run Evaluation] ( #3-run-evaluation )
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+ - [ 3.1. Option: Evaluate with GUI & ROS setup] ( #31-option-evaluate-with-gui--ros-setup-assumes-prepared-ros-setup-useful-for-debugging )
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+ - [ 3.2. Option: Evaluate without GUI or ROS within Minimal Docker Container] ( #32-option-evaluate-without-gui-or-ros-within-minimal-docker-container )
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+ - [ Info about our LiDAR Drivers] ( #info-about-our-lidar-drivers )
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+ - [ Velodyne] ( #velodyne )
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+ - [ Ouster] ( #ouster )
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+ - [ Tips for Rviz Visualization] ( #tips-for-rviz-visualization )
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+ - [ TODOs] ( #todos )
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+
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# Examples:
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## Works with uncommon mounting positions
@@ -116,7 +143,7 @@ Available bags:
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## 2. Setup Environment
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- ### 2.1. Option: Docker + GUI (VNC):
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+ ### 2.1. Option: Docker + GUI (VNC)
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This option is the fastest to set up. However, due to missing hardware acceleration in the VNC Docker container for RVIZ
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the rosbag is played at 1/10 speed.
@@ -206,7 +233,7 @@ point segmentation.
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| 9 | 18.45 / 6.25 | 39.62 / 11.86 |
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| 10 | 20.10 / 8.70 | 34.33 / 12.37 |
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- ### 1.2. Ground Point Segmentation:
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+ ### 1.2. Ground Point Segmentation
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| Sequence | Recall &mu ; &uarr ; / &sigma ; &darr ; | Precision &mu ; &uarr ; / &sigma ; &darr ; | F1-Score &mu ; &uarr ; / &sigma ; &darr ; | Accuracy &mu ; &uarr ; / &sigma ; &darr ; |
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| :---: | :---: | :---: | :---: | :---: |
@@ -299,7 +326,7 @@ docker run --rm -v ${KITTI_SEQUENCES_PATH}:/mnt/kitti_sequences --name build_no_
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docker stop build_no_ros
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```
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- # Tips for Rviz Visualization:
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+ # Tips for Rviz Visualization
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TODO
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