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A Simulation Environment for an Augmented Global Navigation Satellite System Assisted Autonomous Robotic Lawn-Mower

机译:增强型全球导航卫星系统辅助自主机器人割草机的仿真环境

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摘要

This paper presents the software architecture that was developed to evaluate the performance of different Global Navigation Satellite Systems (GNSSs) and Satellite/Ground-Based Augmentation Systems for the localization and navigation of an autonomous robotic lawnmower. In particular, a complete simulation environment has been developed to analyse the system performance obtained by adopting the future European GNSSs when GALILEO will be fully operative. Moreover, this tool has been adopted in the development phase of a precise GNSS-based localization system and developed within the MOW-BY-SAT project, an FP7 project funded by the European Commission; this architecture relies on an innovative algorithm that allows for a Real Time Kinematic localization system, while requiring only a pair of low-cost GPS receivers. The results show the validity of the developed localization and control architecture and the potential of the future European GALILEO system.
机译:本文介绍了一种软件体系结构,该体系结构旨在评估不同的全球导航卫星系统(GNSS)和基于卫星/地面的增强系统的性能,以实现自动机器人割草机的定位和导航。特别是,已经开发出了完整的仿真环境,以分析当GALILEO完全投入使用时采用未来的欧洲GNSS所获得的系统性能。此外,该工具已在基于GNSS的精确定位系统的开发阶段采用,并在MOW-BY-SAT项目(由欧盟委员会资助的FP7项目)中开发;这种架构依赖于一种创新的算法,该算法支持实时运动定位系统,而仅需要一对低成本GPS接收器。结果表明开发的本地化和控制体系结构的有效性以及未来欧洲GALILEO系统的潜力。

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