Implementation of real-time RTK/DGNSS on smartphones and positioning improvement for millions of users in Southeast Asia

Xiao Hu, Xiaochuan Gong, Xiaolong Ji, Chao Wei, Hann Lam Woo, Firdaus Kiagos, Yanjin Li, Chunda Ding, Minbo Qiu, Bo Hu
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Abstract

Grab is Southeast Asia's leading superapp that provides everyday services like Deliveries, Mobility, Financial Services, and more. Location information is the backbone of our services, hence poor GNSS quality hurts our users' experience, especially our driver partners. The objective of this work is to explore the possibility of achieving precise positioning by implementing RTK/DGNSS on Android smartphones. In this contribution, we proposed a new service structure and pipeline to upload the GNSS raw measurements from the phone to the back end, the algorithm can support multiple users to conduct the RTK/DGNSS calculation concurrently. Road tests in different environments were conducted to evaluate the performance of our proposed methodology, and a study on the comparison between native mobile phone location output and our positioning service was done. The results show that in open sky scenarios, our algorithm performs much better than the native Android location, which confirms the interest of using the RTK/DGNSS to improve the positioning accuracy on Android devices for real business usage.
在智能手机上实现实时RTK/DGNSS,并为东南亚数百万用户改进定位
Grab是东南亚领先的超级应用,提供送货、移动出行、金融服务等日常服务。位置信息是我们服务的支柱,GNSS质量差会影响我们的用户体验,尤其是我们的司机伙伴。本研究的目的是探索在Android智能手机上实现RTK/DGNSS实现精确定位的可能性。在本文中,我们提出了一种新的服务结构和管道,将GNSS原始测量数据从手机上传到后端,该算法可以支持多个用户同时进行RTK/DGNSS计算。我们在不同环境下进行了道路测试,以评估我们提出的方法的性能,并对本地手机定位输出和我们的定位服务进行了比较研究。结果表明,在开放天空场景下,我们的算法比原生Android定位性能要好得多,这证实了使用RTK/DGNSS来提高Android设备上的定位精度以用于实际业务使用的兴趣。
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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