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ANSER: AIRPORT NIGHT SURVEILLANCE EXPERT ROBOT

机译:Anser:机场夜监控专家机器人

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The paper describes the ANSER project, focusing on mobile robots for autonomous surveillance in civilian airports and similar wide outdoor areas. The robot is able to navigate autonomously both outdoor and indoor, with a localization sub-system composed only of a single Non-Differential GPS and a laser scanner (inertial sensors are absents). The paper shows that an augmented state vector approach and an Extended Kalman Filter can be successfully employed to estimate the colored components in GPS noise, thus getting closer to the conditions for the EKF to be applicable. The overall system capabilities are described with respect to a typical surveillance scenario, where ANSER is requested to recognize unexpected events through a laser rangefinder for outdoor security, and to consequently alert a human supervisor.
机译:本文介绍了Anser项目,专注于移动机器人在平民机场和类似宽阔的户外区域进行自主监控。机器人能够自主地在室外和室内导航,其中仅由单个非差分GPS和激光扫描仪(惯性传感器都是)组成的定位子系统。本文显示了增强状态矢量方法和扩展卡尔曼滤波器可以成功地用于估计GPS噪声中的彩色组件,从而越接近EKF的条件是适用的。关于典型监视场景描述了整体系统能力,其中要求ANSER通过用于户外安全的激光测距仪识别意外事件,并因此提醒人类主管。

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