Toward the use of smartphones for mobile mapping

作     者：Andrea Masiero Francesca Fissore Francesco Pirotti Alberto Guarnieri Antonio Vettore 

作者机构：Interdepartmental Research Center of Geomatics(CIRGEO)University of PadovaPadovaItaly 

出 版 物：《Geo-Spatial Information Science》 (地球空间信息科学学报（英文）)

年 卷 期：2016年第19卷第3期

页      面：210-221页

核心收录：

学科分类：0303[法学-社会学] 0709[理学-地质学] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 0708[理学-地球物理学] 0705[理学-地理学] 0813[工学-建筑学] 0833[工学-城乡规划学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Mobile mapping positioning feature matching smartphone 

摘      要：This paper considers the use of a low cost mobile device in order to develop a mobile mapping system(MMS),which exploits only sensors embedded in the *** goal is to make this MMS usable and reliable even in difficult environments(*** conditions,when also WiFi connection might not work).For this aim,a navigation system able to deal with the unavailability of the GNSS(***)is proposed *** is achieved by a pedestrian dead reckoning approach,i.e.a specific particle filter has been designed to enable good position estimations by a small number of particles(e.g.100).This specific characteristic enables its real time use on the standard mobile ***,3D reconstruction of the scene can be achieved by processing multiple images acquired with the standard camera embedded in the *** most of the vision-based 3D reconstruction systems are recently proposed in the literature,this work considers the use of structure from motion to estimate the geometrical structure of the *** detail level of the reconstructed scene is clearly related to the number of images processed by the reconstruction ***,the execution of a 3D reconstruction algorithm on a mobile device imposes several restrictions due to the limited amount of available energy and computing *** consideration motivates the search for new methods to obtain similar results with less computational *** paper proposes a novel method for feature matching,which allows increasing the number of correctly matched features between two images according to our simulations and can make the matching process more robust.