Zobrazeno 1 - 10
of 1 887
pro vyhledávání: '"Simultaneous Localization and Mapping (SLAM)"'
Publikováno v:
Robotic Intelligence and Automation, 2024, Vol. 44, Issue 4, pp. 529-548.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/RIA-10-2023-0142
Publikováno v:
Industrial Robot: the international journal of robotics research and application, 2024, Vol. 51, Issue 4, pp. 632-639.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IR-01-2024-0001
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 6, Pp 7799-7823 (2024)
Abstract Loop closure detection is a key technology for robotic navigation. Existing research primarily focuses on feature extraction from global scenes but often neglects local overhead occlusion scenes. In these local scenes, objects such as vehicl
Externí odkaz:
https://doaj.org/article/6af0ff4413084e11b373444fdd8a39f1
Publikováno v:
Frontiers in Neurorobotics, Vol 18 (2024)
IntroductionSimultaneous Localization and Mapping (SLAM) is a technology used in intelligent systems such as robots and autonomous vehicles. Visual SLAM has become a more popular type of SLAM due to its acceptable cost and good scalability when appli
Externí odkaz:
https://doaj.org/article/9183e42046474b82b94e409f74589dff
Autor:
Weiyi Zhang, Yushi Guo, Liting Niu, Peijun Li, Zeyu Wan, Fei Shao, Cheng Nian, Fasih Ud Din Farrukh, Debing Zhang, Chun Zhang, Qiang Li, Jianwei Zhang
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 4, Pp 5391-5409 (2024)
Abstract With the development of deep learning, a higher level of perception of the environment such as the semantic level can be achieved in the simultaneous localization and mapping (SLAM) domain. However, previous works did not achieve a natural-l
Externí odkaz:
https://doaj.org/article/48bb11cfeb634ecabc9838e9dc1b1ecb
Publikováno v:
Journal of King Saud University: Computer and Information Sciences, Vol 36, Iss 6, Pp 102115- (2024)
Loop closure detection is a crucial technique supporting localization and navigation in autonomous vehicles. Existing research focuses on feature extraction in global scenes while neglecting considerations for local dense environments. In such local
Externí odkaz:
https://doaj.org/article/0ef16ce5dfb9400a964f30330deb4073
Autor:
Shengmin Zhao, Seung-Hoon Hwang
Publikováno v:
ICT Express, Vol 10, Iss 1, Pp 83-89 (2024)
In this paper, a new Complete Coverage Path Planning (CCPP) scheme is proposed which combines path planning and dynamic tracking for robot operating system-based robots. For the path planning, firstly a sub-area division algorithm is considered to de
Externí odkaz:
https://doaj.org/article/b1e25adbac294cddbe56618e56ce6b00
Autor:
Wenjun Dai, Tao Xu
Publikováno v:
IEEE Access, Vol 12, Pp 168728-168743 (2024)
In order to solve the problems of existing SLAM algorithms such as incomplete segmentation of dynamic objects and difficulty in accurately judging the motion state of potential dynamic objects, IPD-SLAM is proposed. To minimize the impact of dynamic
Externí odkaz:
https://doaj.org/article/50903a69c72e409e99555f7063e37451
Publikováno v:
IEEE Access, Vol 12, Pp 162122-162130 (2024)
Robots have been increasingly applied in orchard management, with fruit tree localization and mapping being crucial for precision and automation. Existing methods require real-time kinematic (RTK) global navigation satellite system (GNSS) receivers.
Externí odkaz:
https://doaj.org/article/0ea5bbfcb5074525946054cf6f4a775c
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 19317-19327 (2024)
Geospatial data is essential for urban planning and environmental sustainability. Utilizing multiple robots, each equipped with 3-D LiDAR for remote sensing, to collaboratively construct environmental maps can significantly enhance the efficiency of
Externí odkaz:
https://doaj.org/article/9dc587e70da149a8bf6333c2da3a9746