FusionCalibDatasets_test
Published: 16 March 2023| Version 2 | DOI: 10.17632/xr38s95sm9.2
Contributor:
jiayin deng
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 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.
Files
Institutions
Beijing University of Posts and Telecommunications
Categories
Sensor Calibration
Funding
National Key Research and Development Program of China
2022YFB2601802