论文部分内容阅读
At present,the majority of Android phones only support satellite positioning and cellular localization.
Sensor Synchronization for Android Phone Tightly-Coupled Visual-Inertial SLAM
【摘 要】
：
At present,the majority of Android phones only support satellite positioning and cellular localization.
【机 构】
：
Information Engineering University,450001 Zhengzhou,China
【出 处】
：
第九届中国卫星导航学术年会
【发表日期】
：
2018年期
其他文献
针对蓝牙定位结果跳变问题和行人航位推算(Pedestrian dead reckoning,PDR)误差累积问题,本文提出了一种基于二阶级联扩展卡尔曼滤波(Extended Kalman Filter,EKF)和粒子
会议
针对基于RSSI的最大似然估计算法在测距和定位中存在较大误差问题，本文提出了一种基于该算法的改进版.首先对接收到的RSSI信号进行高斯滤波，以滤出较大的测量误差；然后在用
会议
基于行人航迹推算(PDR)的定位技术具有导航定位自主性和连续性优势,而且短时间能够实现很高的定位精度,与此同时,MEMS传感器在商业的移动设备上的广泛可用性使得PDR成为
会议
室内位置服务在人们日常生活中扮演越来越重要角色,然而GPS,北斗,GLONASS,等卫星定位技术在室内难以获取精确位置信息.本文提出一种以粒子滤波算法为框架,融合了蓝牙定位
会议
发射阵地上空扰动引力对弹道导弹主动段飞行影响很大.通过使用基于SRTM数据的地形分类，计算了七种地形类别的纬向、经向和径向扰动引力，并对弹道扰动引力进行了分析和比较.
Simulation on the Qualitative Relationship between Carrier Movement and Eddy Current Interfering Mag
The premise of using geomagnetic measurement to realize high precision navigation is that magnetometer can obtain geomagnetic field data accurately.However,
会议
针对传统定位接收机在低信噪比环境下残留载波跟踪误差较大的缺点,本文提出了一种基于最大似然估计(Maximum likelihood estimation,MLE)和卡尔曼滤波(Kalman Filter,KF)
会议
Implementation of mixed sequential Kalman filters for vision-aided GNSS/INS integrated navigation sy
This paper deals with the integration problem for GNSS/INS integration navigation with the aid of vision sensor.
会议
In SATCOM On-The-Move(SOTM)systems,an accurate pointing from moving antennas towards the communication satellite is the key to a stable signal tracking.
会议
Wireless signal based localization method has become the most widespread approach to determine receiver position in indoor and complex urban environment,due
会议