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  • Search: subject:"Simultaneous localization and mapping"
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Subject
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Normal distributions transform (NDT) 2 Simultaneous localization and mapping (SLAM) 2 Dynamic scan context with switch 1 Ground constraints 1 Ground robot 1 Inertial measurement unit (IMU) 1 LiDAR-visual-inertial system 1 Light detection and ranging (LiDAR) 1 Sensor fusion 1 Simultaneous localization and mapping 1 State estimation 1
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Undetermined 3
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Article 3
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research-article 3
Language
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English 3
Author
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Hu, Jiaxiang 1 Jiang, Yi 1 Ma, Chunyun 1 Shao, Shiliang 1 Shi, Xiaojun 1 Tan, Xiaojun 1 Wang, Lebing 1 Wang, Shuai 1 Wang, Ting 1 Wang, Yingxin 1 Yao, Xin 1 Zhang, Jiazhong 1
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Industrial Robot: the international journal of robotics research and application 3
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Other ZBW resources 3
Showing 1 - 3 of 3
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ODLC_SAM: a novel LiDAR SLAM system towards open-air environments with loop closure
Zhang, Jiazhong; Wang, Shuai; Tan, Xiaojun - In: Industrial Robot: the international journal of robotics … 50 (2023) 6, pp. 1011-1023
Purpose The light detection and ranging sensor has been widely deployed in the area of simultaneous localization and … mapping (SLAM) for its remarkable accuracy, but obvious drift phenomenon and large accumulated error are inevitable when using …
Persistent link: https://www.econbiz.de/10014835783
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3D SLAM based on NDT matching and ground constraints for ground robots in complex environments
Jiang, Yi; Wang, Ting; Shao, Shiliang; Wang, Lebing - In: Industrial Robot: the international journal of robotics … 50 (2022) 1, pp. 174-185
detection and ranging (LiDAR) simultaneous localization and mapping (SLAM) algorithms are reduced, and the algorithms might even …
Persistent link: https://www.econbiz.de/10014835645
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M³LVI: a multi-feature, multi-metric, multi-loop, LiDAR-visual-inertial odometry via smoothing and mapping
Hu, Jiaxiang; Shi, Xiaojun; Ma, Chunyun; Yao, Xin; … - In: Industrial Robot: the international journal of robotics … 50 (2022) 3, pp. 483-495
Purpose The purpose of this paper is to propose a multi-feature, multi-metric and multi-loop tightly coupled LiDAR-visual-inertial odometry, M 3 LVI, for high-accuracy and robust state estimation and mapping. Design/methodology/approach M 3 LVI is built atop a factor graph and composed of two...
Persistent link: https://www.econbiz.de/10014835651
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