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Cellular Localization for Autonomous Driving: A Function Pull Approach to Safety-Critical Wireless Localization
IEEE Vehicular Technology Magazine ( IF 8.1 ) Pub Date : 2022-10-20 , DOI: 10.1109/mvt.2022.3208392
Russ Whiton 1
Affiliation  

Cellular localization has received marked attention in academia and in industry, as indicated by a rapidly expanding volume of literature specific to vehicular environments. Impressive results have been shown for a number of problems as measured by metrics such as accuracy and latency. This article identifies five important requirements for cellular localization for safety-critical systems with a particular focus on autonomous driving (AD) and puts them in the context of industrial and academic trends and standardization. We show why autonomous operation requires special consideration and suggest research directions toward novel and practically implementable solutions, drawing lessons from decades of work on satellite-based localization for aviation landing systems. In addition, we highlight the benefit of cellular localization technology for safety-critical autonomous systems, showing the utility of a satellite-navigation independent absolute localization sensor with error overbounding.

中文翻译:

自动驾驶的蜂窝定位:安全关键型无线定位的功能拉动方法

蜂窝定位在学术界和工业界受到了极大的关注,具体针对车辆环境的文献数量迅速增加表明了这一点。通过准确性和延迟等指标衡量的许多问题已经显示出令人印象深刻的结果。本文确定了安全关键系统的蜂窝定位的五个重要要求,特别关注自动驾驶 (AD),并将它们置于工业和学术趋势和标准化的背景下。我们展示了为什么自主操作需要特别考虑,并从数十年来航空着陆系统基于卫星定位的工作中汲取经验教训,提出了新颖且可实际实施的解决方案的研究方向。此外,
更新日期:2022-10-20
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