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Collaborative Localization Sensor for Mobile Robots in Feature-Free Environments

机译:无功能环境中移动机器人的协作定位传感器

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Localization for mobile robots has been vastly researched in recent years. However, most solutions remain dependant on the working environment by either extracting information from or installing additional sensors into the environment. An innovative localization sensor is proposed in this work, aiming at providing pose estimation for ground mobile robots while reducing the dependency of the pose estimation on the working environment. The localization approach works under a collaborative scheme where multiple instances of the sensor take relative distance and angular measurements towards each other in order to estimate their respective pose. A mathematical model is derived for the collaborative pose estimation process and two instances of the proposed sensor are implemented and tested with a stationary and a moving landmark to validate the approach.
机译:近年来,移动机器人的本地化已经过分研究。 然而,大多数解决方案通过将信息从或将附加传感器安装到环境中来依赖于工作环境。 在这项工作中提出了一种创新的本地化传感器,旨在为地面移动机器人提供姿势估计,同时降低姿势估计对工作环境的依赖性。 本地化方法在协作方案下工作,其中传感器的多个实例相对距离和角度测量彼此以估计它们各自的姿势。 为协同姿势估计处理导出数学模型,并且通过静止和移动的地标来实现和测试所提出的传感器的两个实例以验证该方法。

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