8   Artículos

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en línea
Benny Wijaya, Mengmeng Yang, Tuopu Wen, Kun Jiang, Yunlong Wang, Zheng Fu, Xuewei Tang, Dennis Octovan Sigomo, Jinyu Miao and Diange Yang    
This research paper employed a multi-session framework to present an innovative approach to map monitoring within the domain of high-definition (HD) maps. The proposed methodology uses a machine learning algorithm to derive a confidence level for the det... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Dariusz Gotlib, Robert Olszewski and Georg Gartner    
In the face of strikingly intense technological development, there have been significant discrepancies in the understanding of the concept of the map; an understanding that is fundamental to cartography and, more broadly, GIScience. The development of el... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Kelvin Wong, Ehsan Javanmardi, Mahdi Javanmardi and Shunsuke Kamijo    
Accurately and precisely knowing the location of the vehicle is a critical requirement for safe and successful autonomous driving. Recent studies suggest that error for map-based localization methods are tightly coupled with the surrounding environment. ... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Yuan Guo, Jian Zhou, Xicheng Li, Youchen Tang and Zhicheng Lv    
High-definition (HD) maps serve as crucial infrastructure for autonomous driving technology, facilitating vehicles in positioning, environmental perception, and motion planning without being affected by weather changes or sensor-visibility limitations. M... ver más
Revista: ISPRS International Journal of Geo-Information    Formato: Electrónico

 
en línea
Giuseppe Di Luca, Massimiliano Muccillo, Giovanni Giardiello, Alfredo Gimelli and Gabriele Di Blasio    
Internal combustion engine-driven railway vehicles play an important role in the sector even today, due to the incomplete electrification of railway routes. However, stringent COP26 environmental rules are driving manufacturers and the scientific communi... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Priyank Kalgaonkar and Mohamed El-Sharkawy    
Object detection is a computer vision task of detecting instances of objects of a certain class, identifying types of objects, determining its location, and accurately labelling them in an input image or a video. The scope of the work presented within th... ver más
Revista: Future Internet    Formato: Electrónico

 
en línea
Mustafa Cerit, Zhen Wang, Mehmet Dogan, Shuhao Yu, Jorge L. Valenzuela-Antelo, Chenggen Chu, Shichen Wang, Qingwu Xue, Amir M. H. Ibrahim, Jackie C. Rudd, Richard Metz, Charles D. Johnson and Shuyu Liu    
Understanding genetic architectures of yield and yield-related traits of wheat (Triticum aestivum L.) grown under dryland or irrigated conditions is pivotal for developing modern high-yielding germplasm and cultivars. The objectives of this study were to... ver más
Revista: Agronomy    Formato: Electrónico

 
en línea
Kuk Cho and Dooyong Cho    
This paper describes a method that precisely estimates the position of images of traffic surveillance camera objects. We suggest a projection method with multiple traffic surveillance cameras through a local coordinate system into a global coordinate sys... ver más
Revista: Applied Sciences    Formato: Electrónico

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