Zobrazeno 1 - 10
of 597
pro vyhledávání: '"vehicle localization"'
Publikováno v:
Shanghai Jiaotong Daxue xuebao, Vol 58, Iss 10, Pp 1618-1628 (2024)
Accurate matching between in-vehicle sensor data and high-definition (HD) maps is crucial to improve the performance of perception and localization of intelligent vehicles. A novel algorithm of HD map matching based on the developed semantic likeliho
Externí odkaz:
https://doaj.org/article/787b375e1a4344babed81933af64fc7d
Publikováno v:
Geo-spatial Information Science, Pp 1-18 (2024)
High-precision positioning and navigation are necessary for autonomous driving. GNSS RTK and INS integrated system is commonly used in vehicular navigation. But it suffers from severe signal reflections and blockages of GNSS signals and error accumul
Externí odkaz:
https://doaj.org/article/d4bb8275963246a48137dd0e56318e99
Publikováno v:
Smart Agricultural Technology, Vol 9, Iss , Pp 100607- (2024)
In recent years, different methods have been studied to determine machinery position within a grove, as an alternative for complementing GNSS (global navigation satellite system) information in cases where GNSS signal is occluded. Such a situation ca
Externí odkaz:
https://doaj.org/article/5073920c4f4f4d1fa15721d9d27ec4c8
Publikováno v:
Vehicles, Vol 6, Iss 1, Pp 352-373 (2024)
In the cooperative multi-sensor multi-vehicle (MSMV) localization domain, the data incest problem yields inconsistent data fusion results, thereby reducing the accuracy of vehicle localization. In order to address this problem, we propose the interva
Externí odkaz:
https://doaj.org/article/99af5f13ca414bf7a0e9eec94422c9fe
Autor:
Augusto Luis Ballardini, Daniele Cattaneo, Ruben Izquierdo, Ignacio Parra, Andrea Piazzoni, Miguel Angel Sotelo, Domenico Giorgio Sorrenti
Publikováno v:
IEEE Access, Vol 12, Pp 34539-34552 (2024)
Accurate vehicle localization at the level of individual lanes is crucial to ensure the safe and efficient operation of autonomous vehicles, serving as a cornerstone for the development of future Advanced Driving Assistance Systems (ADAS). Contempora
Externí odkaz:
https://doaj.org/article/df863f05bd074ad1a1e7add77b0a167f
Publikováno v:
Sensors, Vol 24, Iss 20, p 6746 (2024)
Due to the small size of vehicle targets, complex background environments, and the discrete scattering characteristics of high-resolution synthetic aperture radar (SAR) images, existing deep learning networks face challenges in extracting high-qualit
Externí odkaz:
https://doaj.org/article/c248ee74540f462ca8282f296f2e74bc
Publikováno v:
International Journal of Technology, Vol 14, Iss 6, Pp 1237-1246 (2023)
Multiple systems have been developed to identify drivers’ drowsiness. Among all, the vehicle-based driver drowsiness detection system relies on lane lines to determine the lateral position of the vehicle for drowsiness detection. However, the la
Externí odkaz:
https://doaj.org/article/ba4152c069764412bcff2a9a81c065cb
Autor:
Soohyun Cho, Woojin Chung
Publikováno v:
Sensors, Vol 24, Iss 17, p 5531 (2024)
Vehicle localization using mounted sensors is an essential technology for various applications, including autonomous vehicles and road mapping. Achieving high positioning accuracy through the fusion of low-cost sensors is a topic of considerable inte
Externí odkaz:
https://doaj.org/article/4004a67377734eefbadfe31e60575a7e
Autor:
Alexey Kashevnik, Ammar Yaser Ali
Publikováno v:
Proceedings of the XXth Conference of Open Innovations Association FRUCT, Vol 33, Iss 1, Pp 125-131 (2023)
Driver assistant systems have approved their essential role in increasing safety in the driving environment. One of their main features is the ability to provide information about location of the vehicle so that the driver can understand how and wher
Externí odkaz:
https://doaj.org/article/f9aa4b64e851487db7a7a7ef54732fc6
Publikováno v:
Sensors, Vol 24, Iss 10, p 3079 (2024)
This paper presents an enhanced ground vehicle localization method designed to address the challenges associated with state estimation for autonomous vehicles operating in diverse environments. The focus is specifically on the precise localization of
Externí odkaz:
https://doaj.org/article/e832f21f16864ae5a9a5d0df802d0a5e