期刊
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
卷 17, 期 1, 页码 147-151出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/LGRS.2019.2916844
关键词
Laser radar; Cameras; Calibration; Three-dimensional displays; Feature extraction; Simultaneous localization and mapping; Cloud computing; Cameras; GPS-; global navigation satellite system (GNSS)-denied; light detection and ranging (LiDAR); mapping; point cloud; simultaneous localization and mapping (SLAM)
类别
资金
- National Science Foundation of China [61771413]
- Fundamental Research Funds for the Central Universities [20720170047]
Efficient 3-D mapping provides useful and detailed 3-D data for many applications. In this letter, we present a multisensor calibration and mapping method, to provide highly efficient and relatively accurate colored mapping for GPS-/global navigation satellite system-denied environments. The sensor data include 3-D laser scanning point clouds and camera images. A simultaneous localization and mapping (SLAM)-assisted calibration method is first proposed for multiple multibeam light detection and ranging (LiDAR) and multiple camera calibration. An improved SLAM method with loop closure is proposed for 3-D mapping. With the proposed calibration and mapping methods, centimeter-level colored point clouds can be obtained efficiently. The proposed method was tested with both backpacked and car-mounted systems on indoor and outdoor scenes. Experimental results show the effectiveness and efficiency of the proposed calibration and mapping methods.
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