Zobrazeno 1 - 10
of 103
pro vyhledávání: '"Weisong Wen"'
Publikováno v:
IET Intelligent Transport Systems, Vol 18, Iss 8, Pp 1477-1493 (2024)
Abstract A lightweight, high‐definition vector map (HDVM) enables fully autonomous vehicles. However, the generation of HDVM remains a challenging problem, especially in complex urban scenarios. Moreover, numerous factors in the urban environment c
Externí odkaz:
https://doaj.org/article/36a1303fe6854f529b70334f0d4db3d4
Publikováno v:
Navigation, Vol 71, Iss 3 (2024)
Global navigation satellite system (GNSS) integrity monitoring (IM) has been introduced in aviation, but remains challenging for urban scenarios because of limited satellite visibility and strong multipath and non-line-of-sight effects. Consequently,
Externí odkaz:
https://doaj.org/article/4ff5e9d1c4c34ddbac5678859bdbdf10
Publikováno v:
Journal of Geodesy and Geoinformation Science, Vol 6, Iss 3, Pp 102-114 (2023)
Global Navigation Satellite System (GNSS) can provide all-weather, all-time, high-precision positioning, navigation and timing services, which plays an important role in national security, national economy, public life and other aspects. However, in
Externí odkaz:
https://doaj.org/article/365e9ff353ca47e0b432e8150772bf25
Publikováno v:
IET Intelligent Transport Systems, Vol 17, Iss 3, Pp 474-486 (2023)
Abstract A low‐cost and accurate positioning solution is significant for the massive deployment of fully autonomous driving vehicles (ADV). Conventional mechanical LiDAR has proven its performance, but its high cost hinders the massive production o
Externí odkaz:
https://doaj.org/article/5f5da642f1934d33aa56bb2a93ad8a0f
Hong Kong UrbanNav: An Open-Source Multisensory Dataset for Benchmarking Urban Navigation Algorithms
Publikováno v:
Navigation, Vol 70, Iss 4 (2023)
Accurate positioning in urban canyons remains a challenging problem. To facilitate the research and development of reliable and precise positioning methods using multiple sensors in urban canyons, we built a multisensory dataset, UrbanNav, collected
Externí odkaz:
https://doaj.org/article/0ea504d0d408498ab9b92c4750cd7a01
Publikováno v:
Navigation, Vol 70, Iss 3 (2023)
In this paper, a three-dimensional vision-aided method is proposed to improve global navigation satellite system (GNSS) real-time kinematic (RTK) positioning. To mitigate the impact of reflected non-line-of-sight (NLOS) reception, a sky-pointing came
Externí odkaz:
https://doaj.org/article/a21f405692ba46bebe76b79b2981f6f9
Autor:
Weisong Wen, Li-Ta Hsu
Publikováno v:
Navigation, Vol 69, Iss 3 (2022)
3D lidar-based simultaneous localization and mapping (SLAM) is a well-recognized solution for mapping and localization applications. However, the typical 3D lidar sensor (e.g., Velodyne HDL-32E) only provides a very limited field of view vertically.
Externí odkaz:
https://doaj.org/article/4c98acee9b914e94a95455c1bf08177b
Publikováno v:
IEEE Access, Vol 8, Pp 124323-124338 (2020)
Achieving accurate and reliable positioning in dynamic urban scenarios using low-cost vehicular onboard sensors, such as the global navigation satellite systems (GNSS), camera, and inertial measurement unit (IMU), is still a challenging problem. Mult
Externí odkaz:
https://doaj.org/article/ec65be3abd4648d3a58230d4c5b87056
Publikováno v:
Applied Sciences, Vol 12, Iss 10, p 5193 (2022)
Global Navigation Satellite System Real-time Kinematic (GNSS-RTK) is an indispensable source for the absolute positioning of autonomous systems. Unfortunately, the performance of the GNSS-RTK is significantly degraded in urban canyons, due to the not
Externí odkaz:
https://doaj.org/article/463bd0004d4740e5984713dee708193c
Publikováno v:
IEEE Transactions on Intelligent Vehicles. :1-13
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b8d9c0db698a60a85b680518dd9ea4bb
https://doi.org/10.1109/tiv.2023.3273185
https://doi.org/10.1109/tiv.2023.3273185