A Low-Cost Mobile Mapping System (LCMMS) for field data acquisition: a potential use to validate aerial/satellite building damage assessment

2011 ◽  
pp. 1-21 ◽  
Author(s):  
Andrea Ajmar ◽  
Simone Balbo ◽  
Piero Boccardo ◽  
Fabio Giulio Tonolo ◽  
Marco Piras ◽  
...  
Keyword(s):  
Data Acquisition ◽  
Damage Assessment ◽  
Field Data ◽  
Low Cost ◽  
Building Damage ◽  
Mobile Mapping ◽  
Mapping System ◽  
Mobile Mapping System ◽  
Potential Use

scholarly journals Three-dimensional mobile mapping system and its use in road engineering

2018 ◽  
Vol 196 ◽  
pp. 04082
Author(s):  
Zuzana Florkova ◽  
Lukas Duris ◽  
Michal Veselovsky ◽  
Stefan Sedivý ◽  
Dasa Kovalova
Keyword(s):  
Data Collection ◽  
Field Data ◽  
Three Dimensional ◽  
Research Paper ◽  
Mobile Mapping ◽  
Road Engineering ◽  
Mapping System ◽  
Field Data Collection ◽  
Mapping Technology ◽  
Mobile Mapping System

The paper focuses on the issue of the use of three-dimensional mobile mapping system and the following processing of obtained data. The first part is devoted to the description of the three-dimensional mobile mapping technology using LiDAR, specifically to the mobile three-dimensional scanner - Lynx SG1 from Teledyne OPTECH. It describes into more details the process of works from the field data collection to their so called "postprocessing" as well as a variety of output options and interpretations of results obtained in the measurements. Advantages of the system together with its limits of use are summarized in the conclusion of the research paper.

A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements

2010 ◽  
Vol 65 (6) ◽  
pp. 514-522 ◽  
Author(s):  
Anttoni Jaakkola ◽  
Juha Hyyppä ◽  
Antero Kukko ◽  
Xiaowei Yu ◽  
Harri Kaartinen ◽  
...  
Keyword(s):  
Low Cost ◽  
Mobile Mapping ◽  
Mapping System ◽  
Mobile Mapping System

scholarly journals DEVELOPING AN IMAGE BASED LOW-COST MOBILE MAPPING SYSTEM FOR GIS DATA ACQUISITION

2020 ◽  
Vol XLIII-B1-2020 ◽  
pp. 235-242
Author(s):  
E. Frentzos ◽  
E. Tournas ◽  
D. Skarlatos
Keyword(s):  
Reference Frames ◽  
Low Cost ◽  
Image Correlation ◽  
Mobile Mapping ◽  
Traffic Lights ◽  
Navigation Data ◽  
Colour Image ◽  
Mapping System ◽  
Mobile Mapping System ◽  
Digital Frame

Abstract. The aim of this study is to develop a low-cost mobile mapping system (MMS) with the integration of vehicle-based navigation data and stereo images acquired along vehicle paths. The system consists of a dual frequency GNSS board combined with a low-cost INS unit and two machine vision cameras that collect colour image data for road and roadside objects. The navigation data and the image acquisition are properly synchronized to associate position and attitude to each digital frame captured. In this way, upon pixel location of objects appearing on the video frames, their absolute geographical coordinates can be extracted by employing standard photogrammetric methods. Several calibration steps are implemented before survey operation: camera calibration, relative orientation between cameras and determination of rotation angles and offsets between vehicle and cameras reference frames. A software tool has been developed to facilitate and speed up the calibration procedures. Furthermore, easy object coordinate extraction is supported, either in auto mode, where the conjugate image coordinates are obtained in real time using image correlation techniques. Several surveying experiments were executed to certify and check the accuracy and efficiency of the system. From the achieved results, the developed system is efficient for collecting and positioning road spatial objects such as such as road boundaries, traffic lights, road signs, power poles, etc, more rapidly and less expensively. The obtained absolute positional accuracy is less than 1 meter, depending on the availability and quality of the GPS signal.

scholarly journals Sensor Integration in a Low Cost Land Mobile Mapping System

Sensors ◽  
2012 ◽  
Vol 12 (3) ◽  
pp. 2935-2953 ◽  
Author(s):  
Sergio Madeira ◽  
José A. Gonçalves ◽  
Luísa Bastos
Keyword(s):  
Low Cost ◽  
Sensor Integration ◽  
Mobile Mapping ◽  
Mapping System ◽  
Mobile Mapping System

scholarly journals THE PERFORMANCE ANALYSIS OF AN INDOOR MOBILE MAPPING SYSTEM WITH RGB-D SENSOR

2015 ◽  
Vol XL-1/W4 ◽  
pp. 183-188
Author(s):  
G. J. Tsai ◽  
K. W. Chiang ◽  
C. H. Chu ◽  
Y. L. Chen ◽  
N. El-Sheimy ◽  
...  
Keyword(s):  
Low Cost ◽  
Measurement Unit ◽  
Floor Plan ◽  
Mobile Mapping ◽  
Validation And Verification ◽  
Localization And Mapping ◽  
Mapping System ◽  
Mapping Technology ◽  
Mobile Mapping System ◽  
Mobile Mapping Systems

Over the years, Mobile Mapping Systems (MMSs) have been widely applied to urban mapping, path management and monitoring and cyber city, etc. The key concept of mobile mapping is based on positioning technology and photogrammetry. In order to achieve the integration, multi-sensor integrated mapping technology has clearly established. In recent years, the robotic technology has been rapidly developed. The other mapping technology that is on the basis of low-cost sensor has generally used in robotic system, it is known as the Simultaneous Localization and Mapping (SLAM). The objective of this study is developed a prototype of indoor MMS for mobile mapping applications, especially to reduce the costs and enhance the efficiency of data collection and validation of direct georeferenced (DG) performance. The proposed indoor MMS is composed of a tactical grade Inertial Measurement Unit (IMU), the Kinect RGB-D sensor and light detection, ranging (LIDAR) and robot. In summary, this paper designs the payload for indoor MMS to generate the floor plan. In first session, it concentrates on comparing the different positioning algorithms in the indoor environment. Next, the indoor plans are generated by two sensors, Kinect RGB-D sensor LIDAR on robot. Moreover, the generated floor plan will compare with the known plan for both validation and verification.

scholarly journals Photogrammetric Applications of Immersive Video Cameras

2014 ◽  
Vol II-5 ◽  
pp. 211-218 ◽  
Author(s):  
K. Kwiatek ◽  
R. Tokarczyk
Keyword(s):  
Low Cost ◽  
Base Line ◽  
Mobile Mapping ◽  
Heritage Sites ◽  
3D Objects ◽  
Mapping System ◽  
Short Period ◽  
Mobile Mapping System ◽  
Close Range ◽  
Live Action

The paper investigates immersive videography and its application in close-range photogrammetry. Immersive video involves the capture of a live-action scene that presents a 360° field of view. It is recorded simultaneously by multiple cameras or microlenses, where the principal point of each camera is offset from the rotating axis of the device. This issue causes problems when stitching together individual frames of video separated from particular cameras, however there are ways to overcome it and applying immersive cameras in photogrammetry provides a new potential. The paper presents two applications of immersive video in photogrammetry. At first, the creation of a low-cost mobile mapping system based on Ladybug®3 and GPS device is discussed. The amount of panoramas is much too high for photogrammetric purposes as the base line between spherical panoramas is around 1 metre. More than 92 000 panoramas were recorded in one Polish region of Czarny Dunajec and the measurements from panoramas enable the user to measure the area of outdoors (adverting structures) and billboards. A new law is being created in order to limit the number of illegal advertising structures in the Polish landscape and immersive video recorded in a short period of time is a candidate for economical and flexible measurements off-site. The second approach is a generation of 3d video-based reconstructions of heritage sites based on immersive video (structure from immersive video). A mobile camera mounted on a tripod dolly was used to record the interior scene and immersive video, separated into thousands of still panoramas, was converted from video into 3d objects using Agisoft Photoscan Professional. The findings from these experiments demonstrated that immersive photogrammetry seems to be a flexible and prompt method of 3d modelling and provides promising features for mobile mapping systems.

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