Scalable in-door positioning system for cooperative Micro Intelligent Vehicle algorithm development

I. Drikis, Ingars Ribners, Juris Ormanis, K. Nesenbergs
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Abstract

Even though cooperative driving shows great promise in improving road safety and travel efficiency, full scale experimental testing of related algorithms after simulation phase is prohibitively expensive. Micro Intelligent Vehicles (MicroIV) are commonly used as a more cost efficient, easier and faster way to develop innovations in this field. As GPS is a crucial component in autonomous driving scenarios but is not practical for use at MicroIV scales, alternative solutions are needed. This paper proposes a scalable, low-cost positioning system based on image processing, that can be used as a replacement for GPS in indoor facilities.
可扩展的协同微型智能车室内定位系统算法开发
尽管合作驾驶在提高道路安全和出行效率方面大有希望,但在模拟阶段之后对相关算法进行全面实验测试的成本过高。微型智能车辆(MicroIV)通常被用作在该领域开发创新的更具成本效益,更容易和更快的方式。由于GPS是自动驾驶场景中的关键组件,但在MicroIV尺度上并不实用,因此需要替代解决方案。本文提出了一种基于图像处理的可扩展、低成本的定位系统,可作为室内设施GPS的替代品。
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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