Zobrazeno 1 - 10
of 1 303
pro vyhledávání: '"N. El-Sheimy"'
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-2024, Pp 79-84 (2024)
HD Maps (High-Definition Maps) serve as crucial resources for the domain of autonomous vehicle. Because HD Maps can provide detailed and accurate road information, the generation of HD Maps has been a labour-intensive and high cost. This research pre
Externí odkaz:
https://doaj.org/article/899eed20ea234fe08f3b5a332549ca94
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-1-2024, Pp 1-6 (2024)
Recent advances in precise navigation have extensively utilized the integration of Global Navigation Satellite System (GNSS) and Inertial Navigation System (INS), particularly in the domain of intelligent vehicles. However, the efficacy of such navig
Externí odkaz:
https://doaj.org/article/33bcdf48bd2d43bd959ee878faebf8f7
Autor:
Y. Yang, N. El-Sheimy
Publikováno v:
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol X-1-2024, Pp 283-288 (2024)
Accurate LiDAR odometry results contribute directly to high-quality point cloud maps. However, traditional LiDAR odometry methods drift easily upward, leading to inaccuracies and inconsistencies in the point cloud maps. Considering abundant and relia
Externí odkaz:
https://doaj.org/article/5aca58500c9d43a390ed614dfb684978
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W2-2023, Pp 799-805 (2023)
In response to the rapid development of autonomous vehicles and the increasing demand for HD maps, the conventional mapping processes following HD maps guidelines require significant manpower and time resources. Therefore, we propose flexible procedu
Externí odkaz:
https://doaj.org/article/1d783c87520f487ba403731db3a42e32
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W2-2023, Pp 807-813 (2023)
Multisensor systems are essential for autonomous navigation applications to achieve reliable accuracy. Integrating the Global Navigation Satellite System (GNSS) and the Inertial Navigation System (INS) is the most common integration scheme. However,
Externí odkaz:
https://doaj.org/article/ad6476be409d4434a473c2fdf30bffa8
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W2-2023, Pp 821-828 (2023)
Over recent years, the utilization of commercially available integrated navigation systems for the development of navigation algorithms has become increasingly commonplace. Nevertheless, the wide range of sensor quality on the market complicates syst
Externí odkaz:
https://doaj.org/article/89fa61c090ac455ea0dd6e8164b5b07d
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W2-2023, Pp 841-847 (2023)
Cost-effective navigation and positioning systems for autonomous vehicles has become a key focus of research in recent years. Having an accurate position within a lane is vital to enabling high levels of automation and improving safety. Traditionally
Externí odkaz:
https://doaj.org/article/322f6973266445909a581e092dbb9883
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W2-2023, Pp 849-854 (2023)
In recent years, a lot of researchers have been trying the development of efficient ways to create HD maps with centimeter-level precision. Mobile mapping system (MMS) produce 3D HD point cloud map of the surrounding by integrating navigation (i.e.,
Externí odkaz:
https://doaj.org/article/caf8899528874ae89db4bbb396b8f8f3
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W2-2023, Pp 875-880 (2023)
The simultaneous localization and mapping (SLAM) is one of the well-developed positioning technology that provides high accuracy and reliability positioning for automatic vehicles and robotics applications. Integrating Light Detection and Ranging (Li
Externí odkaz:
https://doaj.org/article/d631b062b8374cdcbf27c75882a24e77
Autor:
N. Khalefa, N. El-Sheimy
Publikováno v:
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Vol XLVIII-1-W2-2023, Pp 171-178 (2023)
Depth estimation plays a pivotal role in numerous computer vision applications. However, depth estimation networks trained exclusively on daytime images tend to yield poor performance when applied to nighttime scenarios due to domain differences and
Externí odkaz:
https://doaj.org/article/285faec5aa7844479c6939f036daca1a