Zobrazeno 1 - 10
of 77
pro vyhledávání: '"Jichao, Jiao"'
Publikováno v:
IEEE Access, Vol 8, Pp 140798-140805 (2020)
Feature-based visual simultaneous localization and mapping (SLAM) is an effective localization approach for robots in unknown environments. Classic handcrafted features perform well in 2D image matching tasks. However, in the tracking task of SLAM, t
Externí odkaz:
https://doaj.org/article/a04792fde13e4192bdbb8d10c1e9effb
Publikováno v:
IEEE Access, Vol 7, Pp 94118-94127 (2019)
For the robotic positioning and navigation, visual odometry (VO) system is widely used. However, the errors of the traditional VO accumulate when the robot moves. Besides, this paper proposes a new framework to solve the problem of monocular VO, call
Externí odkaz:
https://doaj.org/article/019aa60b67b5449e9e5aae10ae3a6760
Publikováno v:
IEEE Access, Vol 6, Pp 58574-58586 (2018)
Indoor scene reconstruction is important for robot positioning and navigation in scenario reconstruction, especially in constructing a semantic map. In previous research, RGB-D cameras have been utilized to obtain a semantic map. However, because of
Externí odkaz:
https://doaj.org/article/07a21bdd3c574743a6a04e092effcb84
Publikováno v:
IEEE Sensors Journal. 22:17414-17420
The SLAM problem in dynamic scenes is regarded as a challenge. This article proposes a novel SLAM framework for dynamic environments, which combines neural network and motion information of dynamic objects, making the system more adaptable to dynamic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3e4114186e49f775ae7a17992fbca880
https://doi.org/10.1109/jsen.2021.3051691
https://doi.org/10.1109/jsen.2021.3051691
Publikováno v:
Multimedia Tools and Applications. 81:29939-29953
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::68710171d1091d5b72f68e0837f91ccf
https://doi.org/10.1007/s11042-022-12287-3
https://doi.org/10.1007/s11042-022-12287-3
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 15 (2018)
In the case that the background scene is dense map regularization complex and the detected objects are low texture, the method of matching according to the feature points is not applicable. Usually, the template matching method is used. When training
Externí odkaz:
https://doaj.org/article/82338ab2aff54050b5969d82e303baa5
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 14 (2018)
In this article, we propose a new indoor positioning algorithm using smartphones, where wireless signals and images are deeply combined together to improve the positioning performance. Our approach is based on the use of local binary patterns’ feat
Externí odkaz:
https://doaj.org/article/c6878a7c0b9b41068ea1e24a5178fae9
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::be42ba49024cc6c415a0988f318703d8
https://doi.org/10.1109/icip46576.2022.9897179
https://doi.org/10.1109/icip46576.2022.9897179
Publikováno v:
International Journal of Advanced Robotic Systems, Vol 14 (2017)
In order to assess the performance of multisensor image registration algorithms that are used in the multirobot information fusion, we propose a model based on structural similarity whose name is vision registration assessment model. First of all, th
Externí odkaz:
https://doaj.org/article/91791080aea441819bcb890ccbdab371
Autor:
Jichao Jiao, Zhongliang Deng
Publikováno v:
International Journal of Distributed Sensor Networks, Vol 13 (2017)
To achieve high accuracy in indoor positioning using a smartphone, there are two limitations: (1) limited computational and memory resources of the smartphone and (2) the human walking in large buildings. To address these issues, we propose a new fea
Externí odkaz:
https://doaj.org/article/df01a1b62f2f41cfb65472e80f2704ae