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Dense RGB-D SLAM with Multiple Cameras
Meng, Xinrui1,2; Gao, Wei1,2; Hu, Zhanyi1,2
2018-07-01
发表期刊SENSORS
卷号18期号:7
文章类型Article
摘要A multi-camera dense RGB-D SLAM (simultaneous localization and mapping) system has the potential both to speed up scene reconstruction and to improve localization accuracy, thanks to multiple mounted sensors and an enlarged effective field of view. To effectively tap the potential of the system, two issues must be understood: first, how to calibrate the system where sensors usually shares small or no common field of view to maximally increase the effective field of view; second, how to fuse the location information from different sensors. In this work, a three-Kinect system is reported. For system calibration, two kinds of calibration methods are proposed, one is suitable for system with inertial measurement unit (IMU) using an improved hand eye calibration method, the other for pure visual SLAM without any other auxiliary sensors. In the RGB-D SLAM stage, we extend and improve a state-of-art single RGB-D SLAM method to multi-camera system. We track the multiple cameras' poses independently and select the one with the pose minimal-error as the reference pose at each moment to correct other cameras' poses. To optimize the initial estimated pose, we improve the deformation graph by adding an attribute of device number to distinguish surfels built by different cameras and do deformations according to the device number. We verify the accuracy of our extrinsic calibration methods in the experiment section and show the satisfactory reconstructed models by our multi-camera dense RGB-D SLAM. The RMSE (root-mean-square error) of the lengths measured in our reconstructed mode is 1.55 cm (similar to the state-of-art single camera RGB-D SLAM systems).
关键词Multi-camera Slam Calibration Rgb-d
WOS标题词Science & Technology ; Physical Sciences ; Technology
DOI10.3390/s18072118
关键词[WOS]CALIBRATION
收录类别SCI
语种英语
项目资助者National Key R&D Program of China(2016YFB0502002) ; National Natural Science Foundation of China (NSFC)(61333015 ; 61472419 ; 61421004)
WOS研究方向Chemistry ; Electrochemistry ; Instruments & Instrumentation
WOS类目Chemistry, Analytical ; Electrochemistry ; Instruments & Instrumentation
WOS记录号WOS:000441334300140
引用统计
文献类型期刊论文
条目标识符http://ir.ia.ac.cn/handle/173211/21824
专题模式识别国家重点实验室_机器人视觉
作者单位1.Chinese Acad Sci, Inst Automat, NLPR, Beijing 100190, Peoples R China
2.Univ Chinese Acad Sci, Sch Artificial Intelligence, Beijing 100049, Peoples R China
推荐引用方式
GB/T 7714
Meng, Xinrui,Gao, Wei,Hu, Zhanyi. Dense RGB-D SLAM with Multiple Cameras[J]. SENSORS,2018,18(7).
APA Meng, Xinrui,Gao, Wei,&Hu, Zhanyi.(2018).Dense RGB-D SLAM with Multiple Cameras.SENSORS,18(7).
MLA Meng, Xinrui,et al."Dense RGB-D SLAM with Multiple Cameras".SENSORS 18.7(2018).
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