Добірка наукової літератури з теми "HD maps"

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Статті в журналах з теми "HD maps"

1

Elhousni, Mahdi, Yecheng Lyu, Ziming Zhang, and Xinming Huang. "Automatic Building and Labeling of HD Maps with Deep Learning." Proceedings of the AAAI Conference on Artificial Intelligence 34, no. 08 (2020): 13255–60. http://dx.doi.org/10.1609/aaai.v34i08.7033.

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Анотація:
In a world where autonomous driving cars are becoming increasingly more common, creating an adequate infrastructure for this new technology is essential. This includes building and labeling high-definition (HD) maps accurately and efficiently. Today, the process of creating HD maps requires a lot of human input, which takes time and is prone to errors. In this paper, we propose a novel method capable of generating labelled HD maps from raw sensor data. We implemented and tested our methods on several urban scenarios using data collected from our test vehicle. The results show that the proposed
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2

Barsi, Arpad, Vivien Poto, Arpad Somogyi, Tamas Lovas, Viktor Tihanyi, and Zsolt Szalay. "Supporting autonomous vehicles by creating HD maps." Production Engineering Archives 16 (October 2017): 43–46. http://dx.doi.org/10.30657/pea.2017.16.09.

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3

Chiang, Kai-Wei, Hao-Yu Pai, Jhih-Cing Zeng, Meng-Lun Tsai, and Naser El-Sheimy. "Automated Modeling of Road Networks for High-Definition Maps in OpenDRIVE Format Using Mobile Mapping Measurements." Geomatics 2, no. 2 (2022): 221–35. http://dx.doi.org/10.3390/geomatics2020013.

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Анотація:
With growing attention being devoted to autonomous vehicle (AV) safety, people have recently attached importance to high-definition (HD) maps. HD maps are not limited by environmental factors and can limit AVs driving in certain lanes. HD maps provide accurate auxiliary information on factors such as road geometry, traffic sign placement, and traffic topology. Nowadays, most HD maps are made from point clouds data, and this data contains accurate 3D position information. However, the production costs associated with HD maps are substantial. This article proposes an algorithm that reduces a gre
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4

Depelsenaire, Alexandra C. I., Katey Witham, Margaret Veitch, et al. "Cellular responses at the application site of a high-density microarray patch delivering an influenza vaccine in a randomized, controlled phase I clinical trial." PLOS ONE 16, no. 7 (2021): e0255282. http://dx.doi.org/10.1371/journal.pone.0255282.

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Анотація:
Microarray patches (MAPs) have the potential to be a safer, more acceptable, easier to use and more cost-effective method for administration of vaccines when compared to the needle and syringe. Since MAPs deliver vaccine to the dermis and epidermis, a degree of local immune response at the site of application is expected. In a phase 1 clinical trial (ACTRN 12618000112268), the Vaxxas high-density MAP (HD-MAP) was used to deliver a monovalent, split inactivated influenza virus vaccine into the skin. HD-MAP immunisation led to significantly enhanced humoral responses on day 8, 22 and 61 compared
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5

Pai, H. Y., J. C. Zeng, M. L. Tsai, and K. W. Cheng. "AUTOMATED MODELLING OF ROAD FOR HIGH-DEFINITION MAPS WITH OPENDRIVE FORMAT UTILIZING MOBILE MAPPING MEASUREMENTS." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2022 (May 30, 2022): 263–70. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2022-263-2022.

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Анотація:
Abstract. High-definition maps (HD Maps) becomes a trend supporting autonomous vehicles (AVs) which provides accurate auxiliary information about geometries of road, such as center lines of lanes, geometries of roads, traffic signs, etc. It is not restricted by the severe environment, lack of Global Navigation Satellite System (GNSS) signal, or torrential rain, for Avs; furthermore, the standard of HD Maps is defined as tens of centimeters positioning level. However, the production cost of HD Maps is enormous involving human resources and time. The general way of producing HD Maps is to vector
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6

Fischer, Peter, Seyed Majid Azimi, Robert Roschlaub, and Thomas Krauß. "Towards HD Maps from Aerial Imagery: Robust Lane Marking Segmentation Using Country-Scale Imagery." ISPRS International Journal of Geo-Information 7, no. 12 (2018): 458. http://dx.doi.org/10.3390/ijgi7120458.

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Анотація:
The upraise of autonomous driving technologies asks for maps characterized bya broad range of features and quality parameters, in contrast to traditional navigation maps which in most cases are enriched graph-based models. This paper tackles several uncertainties within the domain of HD Maps. The authors give an overview about the current state in extracting road features from aerial imagery for creating HD maps, before shifting the focus of the paper towards remote sensing technology. Possible data sources and their relevant parameters are listed. A random forest classifier is used, showing h
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7

Liu, Rong, Jinling Wang, and Bingqi Zhang. "High Definition Map for Automated Driving: Overview and Analysis." Journal of Navigation 73, no. 2 (2019): 324–41. http://dx.doi.org/10.1017/s0373463319000638.

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Анотація:
As one of the key enabling technologies for automated driving, High Definition (HD) Maps have become a major research focus in recent years. While increasing research effort has been directed toward HD Map development, a comprehensive review of the overall conceptual framework and development status is still lacking. In this study, we start with a brief review of the highlights of navigation map history, and then present an extensive literature review of HD Map development for automated driving, focusing on HD Map structure, functionalities, and accuracy requirements as well as standardisation
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8

Tsushima, F., N. Kishimoto, Y. Okada, and W. Che. "CREATION OF HIGH DEFINITION MAP FOR AUTONOMOUS DRIVING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B4-2020 (August 25, 2020): 415–20. http://dx.doi.org/10.5194/isprs-archives-xliii-b4-2020-415-2020.

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Анотація:
Abstract. High Definition Map (HD Map) is one of the essential components for autonomous driving systems. The HD Map helps localization, detection, prediction and planning of autonomous driving cars in combination with GNSS and IMU sensors. A lot of map providers and major car manufactures have been trying the development of efficient ways to create and update HD Maps with centimeter-level precision. However, there are no open standard ways well-established to produce HD Map at the present time. Since 2013, we have been being engaged in the research projects and actual production projects on t
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9

Zeng, J. C., and K. W. Chiang. "THE ASSESSMENT OF CURVED CENTERLINE GENERATION IN HDMAPS BASED ON POINT CLOUDS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B1-2020 (August 6, 2020): 285–90. http://dx.doi.org/10.5194/isprs-archives-xliii-b1-2020-285-2020.

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Анотація:
Abstract. Over the decades, autonomous driving technology has attracted a lot of attention and is under rapid development. However, it still suffers from inadequate accuracy in a certain area, such as the urban area, Global Navigation Satellite System (GNSS) hostile area, due to the multipath interference or Non-Line-of-Sight (NLOS) reception. In order to realize fully autonomous applications, High Definition Maps (HD Maps) become extra assisted information for autonomous vehicles to improve road safety in recent years. Compared with the conventional navigation maps, the accuracy requirement i
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10

Neff, James E. "Chromospheric Surface Structures on EI Eridani and HD 199178." International Astronomical Union Colloquium 130 (1991): 330–32. http://dx.doi.org/10.1017/s0252921100079859.

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Анотація:
Several groups at this meeting are presenting maps of the spatial distribution of either brightness or effective temperature in the photospheres of rapidly-rotating, late-type stars. It is generally believed that structure seen in these maps traces the magnetic topology, in analogy with the Sun. We expect the structure of the outer atmospheres (i.e., chromosphere and corona) of these stars to be even more directly tied to the magnetic topology; the magnetic structure is three-dimensional. In order to probe the radial dimension of stellar atmospheres, we need to combine maps of the spatial dist
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