NAVER LABS Indoor dataset
These datasets were obtained in a real department store environment and contain hundreds of dynamic objects, such as humans. Please refer to the NAVER LABS website for detailed explanations.
Dataset description and usage context
NAVER LABS Indoor dataset - LiDAR API
Dataset Description
- Environment Type: Complex indoor environment located in a real department store.
- Dynamic Objects: Contains hundreds of dynamic objects, such as humans.
- Data Download: The dataset can be downloaded via this link, but note that requests for the HD Map & Localization Dataset are limited to researchers and organizations in Korea.
Data Format
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File Structure:
data_path (
/nvlabs/abs_dirinlaunch/lidar_publisher.launchfile) ├── images ├── pointclouds_data ├── camera_parameters.txt ├── groundtruth.hdf5 └── map.pcd -
Data Loading Example: cpp // 加载第i个点云数据 pcl::PointCloud
::Ptr srcCloud(new pcl::PointCloud ); *srcCloud = *loader.cloud(i); // 加载第i个位姿 Eigen::Matrix4f pose = loader.pose(i);
How to Run
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Build and Launch: bash $ catkin build naverlabs_api $ roslaunch naverlabs_api lidar_publisher.launch
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LiDAR Mode Selection: Users can choose among
lidar0,lidar1, andbothmodes.
Applications
- Dynamic Object Processing: The ERASOR tool can be used to remove traces of dynamic objects.
- Effect Comparison:
- Before processing: Traces of dynamic objects are visible.
- After processing: Traces of dynamic objects are removed.
Pair the dataset with AI analysis and content workflows.
Once the source passes your review, move straight into summarization, transformation, report drafting, or presentation generation with the JuheAI toolchain.