Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Chengqun Song"'
Publikováno v:
Applied Sciences, Vol 14, Iss 9, p 3843 (2024)
Multi-sensor fusion is pivotal in augmenting the robustness and precision of simultaneous localization and mapping (SLAM) systems. The LiDAR–visual–inertial approach has been empirically shown to adeptly amalgamate the benefits of these sensors f
Externí odkaz:
https://doaj.org/article/73436a3a541b4fdf89c4d66ca3679045
Publikováno v:
Pattern Recognition Letters. 168:17-23
Publikováno v:
Guidance, Navigation and Control.
Visual SLAM methods usually presuppose that the scene is static, so the SLAM algorithm for mobile robots in dynamic scenes often results in a significant decrease in accuracy due to the influence of dynamic objects. In this paper, feature points are
Publikováno v:
Neurocomputing. 481:11-21
Publikováno v:
Neural Processing Letters.
Publikováno v:
Lecture Notes in Electrical Engineering ISBN: 9789811966125
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::663590905947f4483867a6f3a71cc8cd
https://doi.org/10.1007/978-981-19-6613-2_391
https://doi.org/10.1007/978-981-19-6613-2_391
Publikováno v:
2022 IEEE International Conference on Image Processing (ICIP).
Publikováno v:
2022 26th International Conference on Pattern Recognition (ICPR).
Autor:
Jun Cheng, Chengqun Song
Publikováno v:
Journal of the Society for Information Display. 25:568-576
A robust projector–camera interactive display system consisting of one camera and one projector is proposed, which enables users to interact with computer by touching on arbitrary surfaces with bare hand. The system utilizes the camera to recover 3
Publikováno v:
Wireless Communications and Mobile Computing, Vol 2017 (2017)
Crowdsensing leverages human intelligence/experience from the general public and social interactions to create participatory sensor networks, where context-aware and semantically complex information is gathered, processed, and shared to collaborative