用于城市环境中智能车辆的地图车道匹配视觉辅助 RTK 模糊性解决方法

IF 3.7 1区地球科学 Q1 GEOGRAPHY, PHYSICAL

International Journal of Digital Earth Pub Date : 2024-07-29 DOI:10.1080/17538947.2024.2383479

Hongjuan Zhang, Chuang Qian, Wenzhuo Li, Bijun Li

引用次数: 0

摘要

尽管全球导航卫星系统（GNSS）的实时运动学（RTK）在许多情况下都具有高精度性能，但恶劣的信号环境仍会导致模糊固定失效，并使运动学定位结果更差。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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A vision-aided RTK ambiguity resolution method by map lane matching for intelligent vehicle in urban environment

Despite the high-precision performance of GNSS real-time kinematic (RTK) in many cases, harsh signal environments still lead to ambiguity-fixed failure and worse positioning results in kinematic lo...

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来源期刊

International Journal of Digital Earth 地学-遥感

CiteScore

6.50

自引率

3.90%

发文量

审稿时长

3 months

期刊介绍： The International Journal of Digital Earth is a response to this initiative. This peer-reviewed academic journal (SCI-E) focuses on the theories, technologies, applications, and societal implications of Digital Earth and those visionary concepts that will enable a modeled virtual world. The journal encourages papers that: Progress visions for Digital Earth frameworks, policies, and standards; Explore geographically referenced 3D, 4D, or 5D models to represent the real planet, and geo-data-intensive science and discovery; Develop methods that turn all forms of geo-referenced data, from scientific to social, into useful information that can be analyzed, visualized, and shared; Present innovative, operational applications and pilots of Digital Earth technologies at a local, national, regional, and global level; Expand the role of Digital Earth in the fields of Earth science, including climate change, adaptation and health related issues,natural disasters, new energy sources, agricultural and food security, and urban planning; Foster the use of web-based public-domain platforms, social networks, and location-based services for the sharing of digital data, models, and information about the virtual Earth; and Explore the role of social media and citizen-provided data in generating geo-referenced information in the spatial sciences and technologies.