Zobrazeno 1 - 10
of 79
pro vyhledávání: '"Zhaozheng, Hu"'
Publikováno v:
Sensors, Vol 24, Iss 17, p 5478 (2024)
The development of advanced sensing and control technologies provides increased intelligence and autonomy for robots and enhances the robots’ agility, maneuverability, and efficiency, which has attracted growing attention in various industries and
Externí odkaz:
https://doaj.org/article/a6c8c836cccf43b8863da644403f85d4
Enhanced Berth Mapping and Clothoid Trajectory Prediction Aided Intelligent Underground Localization
Publikováno v:
Applied Sciences, Vol 14, Iss 12, p 5032 (2024)
In response to the widespread absence of global navigation satellite system (GNSS) signals in underground parking scenes, we propose a multimodal localization method that integrates enhanced berth mapping with Clothoid trajectory prediction, enabling
Externí odkaz:
https://doaj.org/article/280b260e2f294b8980a4219622a1b6a0
Publikováno v:
Sensors, Vol 23, Iss 5, p 2501 (2023)
Mobile robots are widely employed in various fields to perform autonomous tasks. In dynamic scenarios, localization fluctuations are unavoidable and obvious. However, common controllers do not consider the impact of localization fluctuations, resulti
Externí odkaz:
https://doaj.org/article/2a57d5e768c14a97acfcabe0a4b994b6
Publikováno v:
Applied Sciences, Vol 12, Iss 6, p 2771 (2022)
This paper proposes a new method of target localization and tracking. The method consists of four parts. The first part is to divide the scene into multiple cells based on the camera’s parameters and calibrate the position and error of each vertex.
Externí odkaz:
https://doaj.org/article/0cc05d7ea0644d96b7f2a104bdc5d86f
Publikováno v:
IEEE Transactions on Vehicular Technology. :1-12
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5c676cf7b6c9f7d5a197c3decbf7b520
https://doi.org/10.1109/tvt.2023.3241203
https://doi.org/10.1109/tvt.2023.3241203
Publikováno v:
IEEE Access, Vol 6, Pp 71012-71019 (2018)
Safety and comfortability are important indicators to evaluate the performance of driver assistant systems (ADAS) and intelligent vehicle (IV) systems. Driver identification or driving characteristic learning is needed to achieve the comfortability f
Externí odkaz:
https://doaj.org/article/7edc4d6d332e4f728529f2b1b2b366f8
Publikováno v:
Applied Sciences, Vol 11, Iss 13, p 5931 (2021)
Large amounts of high-quality image data are the basis and premise of the high accuracy detection of objects in the field of convolutional neural networks (CNN). It is challenging to collect various high-quality ship image data based on the marine en
Externí odkaz:
https://doaj.org/article/da92fb261c534fa8a7eb2f471696ea36
Publikováno v:
IEEE Transactions on Vehicular Technology. 71:7071-7083
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::3d026ee9f1540701b1dbeabdc1588399
https://doi.org/10.1109/tvt.2022.3170627
https://doi.org/10.1109/tvt.2022.3170627
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2676:180-192
Accurate and robust self-localization is a crucial task for intelligent vehicles. Because of limited access to GPS signals, localization in underground parking lots remains a problem. In this paper, fusion localization for intelligent vehicles using
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::ebc5390512eaac254ece987d336e4019
https://doi.org/10.1177/03611981221094585
https://doi.org/10.1177/03611981221094585
Publikováno v:
IEEE Access, Vol 5, Pp 13835-13846 (2017)
Simultaneous localization and mapping (SLAM) has a wide range of applications, such as mobile robots, intelligent vehicle localization, and intelligent transportation system. However, loop closure detection is a challenge task for SLAM. This task con
Externí odkaz:
https://doaj.org/article/26e12b25db9a4e018ceca7a78c1656fc