Zobrazeno 1 - 10
of 1 369
pro vyhledávání: '"Occupancy grid mapping"'
Publikováno v:
World Journal of Engineering, 2020, Vol. 17, Issue 4, pp. 535-542.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/WJE-09-2019-0273
Publikováno v:
Sensors, Vol 22, Iss 20, p 8021 (2022)
Recent deep learning frameworks draw strong research interest in application of ego-motion estimation as they demonstrate a superior result compared to geometric approaches. However, due to the lack of multimodal datasets, most of these studies prima
Externí odkaz:
https://doaj.org/article/e03d520ff7194e939e9dc4b696a7abb3
Autor:
Singh, Ravinder, Nagla, Kuldeep Singh
Publikováno v:
International Journal of Intelligent Unmanned Systems, 2019, Vol. 7, Issue 1, pp. 2-18.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJIUS-05-2018-0013
Publikováno v:
Sensors, Vol 21, Iss 7, p 2263 (2021)
Creating an accurate awareness of the environment using laser scanners is a major challenge in robotics and auto industries. LiDAR (light detection and ranging) is a powerful laser scanner that provides a detailed map of the environment. However, eff
Externí odkaz:
https://doaj.org/article/be43b942d6aa44d19c398790cd89f1a1
Publikováno v:
IEEE Transactions on Robotics. 38:1016-1032
This paper presents a method for cave surveying in total darkness using an autonomous aerial vehicle equipped with a depth camera for mapping, downward-facing camera for state estimation, and forward and downward lights. Traditional methods of cave s
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::902bf092c7d416b36f664372072ccf36
https://doi.org/10.1109/tro.2021.3104459
https://doi.org/10.1109/tro.2021.3104459
Publikováno v:
IEEE Robotics and Automation Letters. 7:610-617
In this paper, we present real-time collision-free inverse kinematics (RCIK) that accurately performs consecutively provided six-degrees-of-freedom commands in environments containing static and dynamic obstacles. Our method is based on an optimizati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::185c7e4a8cc2dde38f3924cfe52561b1
https://doi.org/10.1109/lra.2021.3128238
https://doi.org/10.1109/lra.2021.3128238
Publikováno v:
Bulletin of Electrical Engineering and Informatics. 10:2811-2820
In the navigation system, the desired destination position plays an essential role since the path planning algorithms takes a current location and goal location as inputs as well as the map of the surrounding environment. The generated path from path
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::d843a2d1944ccf335126b725ee94f94b
https://doi.org/10.11591/eei.v10i5.3170
https://doi.org/10.11591/eei.v10i5.3170
Publikováno v:
Artificial Life and Robotics. 26:412-422
This paper presents a method for moving-object detection and tracking (DATMO) in global navigation satellite systems (GNSS)-denied environments using a light detection and ranging (LiDAR) mounted on a motorcycle. Distortion in the scanning LiDAR data
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::fee38bad2cad4fac29213ff107a4b925
https://doi.org/10.1007/s10015-021-00693-z
https://doi.org/10.1007/s10015-021-00693-z
Publikováno v:
Applied Intelligence. 52:5290-5309
Active vision is the ability of intelligent agents to dynamically gather more information about their surroundings by physical motion of the camera. In the case of object recognition, active vision enables improved performance by incorporating classi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::43f41af905302b22f0b0eb16cb302cd3
https://doi.org/10.1007/s10489-021-02657-z
https://doi.org/10.1007/s10489-021-02657-z
Publikováno v:
CONVERTER. :397-406
This paper designed an intelligent service robot system in highway based on multi-sensor fusion. The mobile robot attempts to fuse the lidar information and monocular vision information to estimate the pose of itself and obtain an environmental map.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::62549d57bd2a22bfc2b8c2303ab88296
https://doi.org/10.17762/converter.303
https://doi.org/10.17762/converter.303