FusionCalibDatasets_test
Description
This is one of the experimental data of the FusionCalib method of single-node calibration for roadside integrated radar camera fusion sensor. It includes: 1. Raw data: output.avi (from monocular camera); radarTrack.npy (from 4D millimeter-wave radar); lidarPcl.npy (from 16-line LiDAR). 2. Config file: config 3. Vehicle bottom detections: output-bottom.npy 4. Vehicle bottom pixel trajectories: output-ByteTrack.npy 5. All 3D positions of vehicle bottom: PlanePoint.npy 6. Calibration results: res 7. Vehicle 3D bounding boxes: output-3D.npy You can read .npy files using python code: `` import numpy as np data=np.load('<file>.npy',allow_pickle=True) `` Other files are for the compared method described in our paper.
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Funding
National Key Research and Development Program of China
2022YFB2601802