Zobrazeno 1 - 10
of 1 860
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
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
Publikováno v:
IEEE Access, Vol 12, Pp 129202-129211 (2024)
Mechanical Scanning Sonars (MSS) are popular underwater sensors for Unmanned Underwater Vehicles (UUV) due to their low cost, small size, and low power consumption. But due to their simplicity, there are also many research challenges related to their
Externí odkaz:
https://doaj.org/article/c612dcf38a35497b85b95a40fda50c93
Autor:
Xiongwen Jiang, Taiga Kuroiwa, Haolan Zhang, Takato Yoshida, Linfeng Sun, Yu Cao, Haohao Zhang, Takahiro Kawaguchi, Seiji Hashimoto
Publikováno v:
IEEE Access, Vol 12, Pp 103673-103686 (2024)
Simultaneous localization and mapping (SLAM) based on light detection and ranging (LiDAR) is a trending research direction. This paper proposes a tightly coupled LiDAR inertial odometry (LIO) system that integrates geometric and textural information
Externí odkaz:
https://doaj.org/article/a8af0c2fb3774c09aca1bd0d50a0abe0
Publikováno v:
IEEE Access, Vol 12, Pp 65192-65201 (2024)
Point cloud-based place recognition plays a crucial role in robotics and unmanned vehicle tasks, particularly in relocalization and loop detection modules of LiDAR-based simultaneous localization and mapping systems. It’s also essential for global
Externí odkaz:
https://doaj.org/article/054210040f694c8c886e500b00eeda17
Publikováno v:
IEEE Access, Vol 12, Pp 47041-47056 (2024)
This work presents an Augmented Reality application based on SLAM (Simultaneous Localization and Mapping) for the assessment of spatial memory involving olfactory stimuli. A study was carried with twenty-five adults. The participants of the study com
Externí odkaz:
https://doaj.org/article/a86bf73c774849b787bc158819a52f66