基于机会性位置校正的低功耗城市众包导航  

Low power urban crowdsourcing navigation based on opportunistic position calibration

作　　者：穆运峰[1] 王林[1] 刘文远[1] 

机构地区：[1]燕山大学信息科学与工程学院,河北秦皇岛066004

出　　处：《计算机工程与设计》2015年第12期3194-3198,3203,共6页Computer Engineering and Design

基　　金：国家自然科学基金项目(61272466;61303233);秦皇岛市科学技术研究与发展计划基金项目(2012021A046)

摘　　要：为解决城市楼群建筑密集区域人员的盲目移动、迷航以及如何返回约定位置等问题,设计一种基于机会性位置校正的低功耗城市众包导航系统iWALK。利用手机内置的惯导传感器(如加速计、电子罗盘等),提出航迹推算方法并实现连续的轨迹跟踪。通过机会性的行人相遇校准移动轨迹偏移,在无需人为干预的条件下,实现行人在陌生环境中的室外回程导航。仿真结果表明,该方法在保证轨迹映射精度的前提下,可以使导航设备能耗降低60%。To solve the problems of blind movements, getting lost and coming back to the preconcerted position, an opportunistic position calibration based low power urban crowdsourcing navigation system called iWALK system was designed. By using of inertial sensors on the smart phone, a dead reckoning method was proposed to form a continuous trail tracking. The mobile trail deviation was calibrated in terms of the opportunistic user intersections. Without manual intervention, the user was navigated from outdoor unfamiliar environment to the preconcerted position. Experimental results show that the presented method can re- duce the energy consumption by 60% with ensured precision of trajectory mapping. Compared with the existing outdoor naviga- tion approaches, the proposed method has marked advantages.

关 键 词：机会性 惯导 众包导航 位置校正 轨迹映射 低功耗 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]