Yan Xing
Research Subjects
Yan Xing has a total of 10 co-authors. Here are the top co-authors by number of shared publications:
- B. Teng
Beijing Institute of Control Engineering, Beijing, China
1 shared publication - Guangbin Huang
Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province College of Information Engineering, China Jiliang University, Hangzhou, China
1 shared publication K. Di
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China
1 shared publicationLi Yang
Key Laboratory of Electromagnetic Wave Information Technology and Metrology of Zhejiang Province College of Information Engineering, China Jiliang University, Hangzhou, China
1 shared publicationM. Peng
State Key Laboratory of Remote Sensing Science, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China
1 shared publication- Qiang Zhao
Department of Neurosurgery, Chengdu Fifth People’s Hospital/Affiliated Chengdu No.5 People’s Hospital of Chengdu University of TCM, Chengdu, People’s Republic of China
1 shared publication
Latest Publications
- 4 February 2024
- Published by Springer Nature in International Journal of Aeronautical and Space Sciences
- Vol. 25 (3) , 1121-1134
Improved Mars Terrain Segmentation in Terms of Style Transfer and Network Architecture
- 4 February 2024
- Published by Springer Nature in International Journal of Aeronautical and Space Sciences
- Vol. 25 (3) , 1121-1134
Improved Mars Terrain Segmentation in Terms of Style Transfer and Network Architecture
- Open Access
- 30 April 2018
- Published by Copernicus GmbH in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
- Vol. XLII-3, 1369-1374
INTEGRATING DEPTH AND IMAGE SEQUENCES FOR PLANETARY ROVER MAPPING USING RGB-D SENSOR
RGB-D camera allows the capture of depth and color information at high data rates, and this makes it possible and beneficial integrate depth and image sequences for planetary rover mapping. The proposed mapping method consists of three steps. First, the strict projection relationship among 3D space, depth data and visual texture data is established based on the imaging principle of RGB-D camera, then, an extended bundle adjustment (BA) based SLAM method with integrated 2D and 3D measurements is applied to the image network for high-precision pose estimation. Next, as the interior and exterior elements of RGB images sequence are available, dense matching is completed with the CMPMVS tool. Finally, according to the registration parameters after ICP, the 3D scene from RGB images can be registered to the 3D scene from depth images well, and the fused point cloud can be obtained. Experiment was performed in an outdoor field to simulate the lunar surface. The experimental results demonstrated the feasibility of the proposed method.
- 30 April 2018
- Published by Copernicus GmbH in The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
- Vol. XLII-3, 1369-1374
Open AccessINTEGRATING DEPTH AND IMAGE SEQUENCES FOR PLANETARY ROVER MAPPING USING RGB-D SENSOR
RGB-D camera allows the capture of depth and color information at high data rates, and this makes it possible and beneficial integrate depth and image sequences for planetary rover mapping. The proposed mapping method consists of three steps. First, the strict projection relationship among 3D space, depth data and visual texture data is established based on the imaging principle of RGB-D camera, then, an extended bundle adjustment (BA) based SLAM method with integrated 2D and 3D measurements is applied to the image network for high-precision pose estimation. Next, as the interior and exterior elements of RGB images sequence are available, dense matching is completed with the CMPMVS tool. Finally, according to the registration parameters after ICP, the 3D scene from RGB images can be registered to the 3D scene from depth images well, and the fused point cloud can be obtained. Experiment was performed in an outdoor field to simulate the lunar surface. The experimental results demonstrated the feasibility of the proposed method.