Point Cloud Measurement with a Smartphone and Instant URL Sharing! Streamline Field Work with LRTK

Table of Contents

• Basics of point cloud measurement and the importance of data sharing

• Challenges of traditional point cloud data sharing

• Easy, high-accuracy point cloud acquisition with smartphone × LRTK

• Steps to upload acquired point clouds to the cloud and share via URL

• Just open the URL! No special software required—3D point cloud view and comments

• Overlay with design data for difference checking and visualizing progress

• Benefits of introduction: time savings, labor reduction, error prevention, remote verification

• Easy 3D surveying and point cloud sharing starting with LRTK

• FAQ

Basics of point cloud measurement and the importance of data sharing

In recent years, three-dimensional measurement using point cloud data has attracted attention in construction and surveying sites. Point cloud data are a collection of countless points obtained by laser scanners or photogrammetry, each point having X, Y, Z coordinates to form 3D data. Traditionally, 3D surveying required expensive equipment and specialist technicians, but with LiDAR sensors built into the latest smartphones, it has become possible to easily scan sites with a palm-sized device and acquire detailed point clouds. As a result, a wide range of professionals—from surveyors to construction managers and municipal staff—are entering an era of utilizing 3D data.

The greatest advantage of point cloud measurement is the ability to record large-area geometries densely in a short time. Unlike traditional methods that measure point by point, point clouds enable surveying that captures surfaces from lasers or photos, allowing non-contact and safe measurement of hazardous areas where people cannot enter. Because cross-sections and dimensional measurements can be created from the data after acquisition, mistakes such as "I forgot to measure that spot" can be avoided. The 3D data acquired at the site are extremely useful, but to realize their full potential, smooth data sharing between the field and the office and with clients is essential. If the latest site conditions measured on-site can be shared instantly in 3D with stakeholders, they can check finished conditions or give instructions remotely, dramatically improving work efficiency and accuracy.

Challenges of traditional point cloud data sharing

However, sharing point cloud data using traditional methods has faced various challenges. Due to the burden of handling large files and constraints of specialized software, valuable 3D data tended to remain on-site. Specific problems include the following:

• Large data size: Point cloud files can easily reach several hundred MB to several GB, making them difficult to send by email or chat tools. Transfers take time and storage is strained.

• Dependence on viewing environment: Recipients without a high-performance PC or specialized viewer may be unable to open point cloud data. Software that supports special formats like LAS or PLY is required, raising the barrier for clients or supervisors to view the data.

• Effort and psychological hurdle to share: Uploading to online storage and sharing links is an option, but the procedure can be cumbersome and is often avoided. While struggling with data sharing, people may fall back on sending photos, resulting in 3D data going unused.

Because of issues like file size and viewing environment, the hurdle to share acquired point clouds outside the site has been high, and information has not always been fully leveraged.

Easy, high-accuracy point cloud acquisition with smartphone × LRTK

Enter LRTK, a point cloud measurement solution that combines smartphones with high-precision GNSS. Recently, some smartphones and tablets have built-in LiDAR sensors, enabling anyone to easily 3D-scan their surroundings. However, conventional smartphone GPS accuracy can have errors of several meters, making it difficult to align acquired point clouds with map coordinates or design drawings.

LRTK solves this problem. LRTK is a system consisting of a small GNSS receiver attachable to a smartphone and a dedicated app, using correction technology called real-time kinematic (RTK) to achieve centimeter-level positioning even with a smartphone. RTK-GNSS provides position information with errors of only a few centimeters, so each point in the point cloud obtained by the smartphone’s LiDAR or camera is endowed with highly accurate latitude, longitude, and elevation. As a result, even point clouds obtained easily can become high-accuracy 3D surveys with absolute coordinates in the global geodetic system. In fact, verification by the Ministry of Land, Infrastructure, Transport and Tourism confirmed that smartphone + RTK point cloud surveying meets the accuracy required for finished-condition management (about ±5 cm (±2.0 in) or less), and this method has been included in procedural guidelines. Precision control that previously required specialized laser scanners or drone surveying can now be achieved with a single smartphone and a small device.

The workflow is simple: attach the LRTK GNSS receiver to the smartphone (or connect via Bluetooth) and launch the dedicated app on site. When high-precision positioning via RTK begins in the app, use the smartphone’s LiDAR scan function or photo capture to record the surroundings. For example, walking around structures or terrain to scan can quickly produce detailed 3D point clouds that include tens of meters ahead. Because each point in the point cloud is assigned real-time high-precision coordinates, there is no need for post-processing alignment to reference points. With simple operations anyone can immediately create accurate point cloud models—this is the strength of smartphone × LRTK.

Steps to upload acquired point clouds to the cloud and share via URL

Point cloud data acquired with LRTK can be uploaded to the cloud on-site and a shareable link issued. Being able to immediately share the latest measured conditions with stakeholders on-site is a major advantage. The specific steps are as follows:

• Complete point cloud measurement: After finishing the point cloud scan in the smartphone LRTK app, save the data.

• Upload to the cloud: Follow the app instructions to upload the acquired point cloud data to cloud storage. Upload starts with a single button and large point cloud data are automatically optimized and converted.

• Issue a shareable URL: When the upload is complete, a unique URL granting access to that point cloud data is issued. The link can be viewed instantly in the app and copied for use.

• Share the URL with stakeholders: Send the issued URL by email or chat to the intended recipients. You can notify supervisors or clients in the office of the latest data on the spot.

By sharing via the cloud, there is no need to send huge files individually. The workflow—acquire point cloud on site → upload immediately → share URL—proceeds smoothly, eliminating delays in data sharing.

Just open the URL! No special software required—3D point cloud view and comments

Recipients of the shared link can use a 3D point cloud viewer simply by clicking the URL. A browser-based viewer displays point clouds on PCs, tablets, and smartphones without installing specialized software. Dragging on the screen lets users view the site from any angle, zoom into areas of interest, and intuitively measure distances and heights. Because the cloud optimizes data for viewing without expensive workstations or specialized software, clients and supervisors can easily view 3D data.

The viewer also includes a comment function. For example, if a client viewing the point cloud comments, "Is the finish here according to the design?", the contractor can immediately identify the indicated location. Stakeholders can communicate while viewing the same 3D data, making it easier to share information that is hard to convey by text or phone. People not on-site can grasp the situation as if they were there and exchange opinions, improving the accuracy of information transmission and reducing mistakes due to misunderstandings.

Overlay with design data for difference checking and visualizing progress

The cloud point cloud viewer can also load design data (3D design models or digital drawings) and overlay them on the point cloud. This allows comparison of current point clouds and planned design models in the same coordinate system, enabling at-a-glance checks of whether construction matches the design. Construction errors or shortages/excesses in work progress that are hard to notice on drawings can be intuitively understood by color-coding differences in 3D. For example, areas constructed to the design height might be shown in blue or green, while areas with higher or lower fill than planned might be shown in red—this kind of difference heatmap visualizes site conditions by overlaying point clouds with design data.

Point clouds can also be used for progress management. By scanning the site at each construction stage, comparing point clouds over time allows remote confirmation of "how far work has progressed" and "changes since the last scan." This not only quantifies finished conditions but also helps early detection of delays or construction defects. When all stakeholders share the latest 3D data and perform visualized progress, communication and reporting become smoother, strengthening trust between the field and the office.

Benefits of introduction: time savings, labor reduction, error prevention, remote verification

The workflow of measuring point clouds with a smartphone and sharing them via the cloud brings various benefits to field operations. The main effects are summarized below.

• Time savings: Point cloud scanning completes far faster than traditional surveying with total stations, etc. Because data sharing is also real-time, information transfer from the field to the office is accelerated, speeding up decision-making.

• Labor reduction: Measurement can be completed by one person walking with a smartphone, enabling efficient surveying even at sites with labor shortages. Since data can be shared without the frequent presence of veteran technicians, it contributes to optimized staffing and reduced travel time.

• Error prevention: Recording the entire site with point cloud data reduces the risk of missed or overlooked measurements. Visualizing and sharing differences from the design helps detect construction errors or misunderstandings early and prevents rework. Miscommunication due to differing perceptions among stakeholders is also easier to resolve in 3D.

• Remote verification: Because anyone can check the site’s 3D condition via the cloud, remote supervision from a distant office becomes possible. This reduces the need for business trips or on-site visits and enables handling even when weather or infections prevent on-site presence. Remote expert support and explanations to clients become easier, enabling efficient management and inspections.

Thus, the smartphone point cloud measurement and URL-sharing workflow offers not only time and cost savings but also many advantages in quality and safety.

Easy 3D surveying and point cloud sharing starting with LRTK

Point cloud measurement and sharing using smartphone × LRTK strongly support digital transformation (DX) at sites. Without large-scale equipment or advanced expertise, anyone can easily perform 3D surveying on site and instantly share the results. LRTK, in particular, combines positioning devices, an app, and cloud services into an integrated solution, so beginners in surveying can start using it without confusion. From uploading point clouds to sharing, the process is completed in one stop, dramatically lowering the hurdle to "measure and show."

Use LRTK to make effective use of detailed site data that was buried by traditional methods. Information that paper drawings and photos could not fully convey can be shared as three-dimensional point cloud models so all stakeholders have the same image. The ease of starting with just a smartphone and an LRTK device is also appealing. Why not introduce a new workflow of site 3D-ization and real-time sharing and experience improved work efficiency and productivity? If you are interested, please feel free to contact us.

FAQ (Frequently Asked Questions)

Q. What is required to perform point cloud measurement with a smartphone? A. You need a smartphone with a LiDAR sensor, a high-precision GNSS receiver called an "LRTK," and the dedicated LRTK app. This combination enables centimeter-level positioning with a smartphone and allows acquisition of detailed point clouds. Devices without LiDAR can also work by generating point clouds from multiple photos, but using a LiDAR-equipped model makes on-site scanning more efficient.

Q. What level of measurement accuracy can be achieved? A. With a smartphone + LRTK combination, it is generally possible to achieve high-accuracy point cloud surveying with errors of about several centimeters in both horizontal and vertical directions. This meets national and municipal finished-condition management standards (around ±5 cm (±2.0 in) or less) and has been confirmed in practical verifications. However, accuracy can be affected by surrounding environments and satellite reception conditions, so use it where stable positioning can be obtained.

Q. In what formats are point cloud data handled? A. Acquired point cloud data are automatically converted and stored in visualization formats on the cloud so they can be displayed in a browser. The original point cloud files (such as LAS or PLY formats) are also stored on the cloud and can be downloaded for use in other software or delivered as submission data when needed.

Q. Is it secure to upload data to the cloud? A. The LRTK cloud is designed with security in mind. Access to data is limited to those who know the share link, and communications are encrypted. You can also set access rights per project. When sharing with external clients, the system can be operated securely to prevent unnecessary data spread.

Q. Can non-specialists use it? A. Yes. LRTK pursues simple operability so that non-ICT field personnel can handle it. The dedicated app starts surveying with the press of a button at the measurement location; complicated settings are unnecessary. The cloud point cloud viewer is intuitive and focuses on basic functions such as viewing and measuring, so even non-experts can use it. Advanced analysis is available if needed, but the design prioritizes usability so anyone can start without hesitation.

Q. Can it be used in remote mountainous areas without cellular coverage? A. Yes. The LRTK positioning device supports Japan’s Quasi-Zenith Satellite System (Michibiki) CLAS (centimeter-level augmentation service). Therefore, even at sites without mobile reception, it can receive augmentation signals from satellites and enable cm level accuracy (half-inch accuracy) positioning (an optional out-of-coverage antenna is required). Uploading to the cloud can be done later after moving to a location with reception, but measurement itself can be performed offline without problems.

Q. Does it fall short compared to expensive laser scanners or drone surveying? A. It depends on the application. Traditional terrestrial laser scanners and drone photogrammetry are suitable for creating highly detailed 3D models over large areas and can acquire very dense, high-accuracy point clouds. However, they require large equipment costs and operational effort, making frequent on-site use challenging. Smartphone + LRTK excels in ease and immediacy and offers sufficient accuracy for routine construction management and small-to-medium site records. It is recommended to use LRTK for quick everyday "snapshots" of the site and combine it with traditional equipment when necessary. In wide-area civil works, for example, drones and ground-based LRTK scans are often used complementarily, with drones covering broad areas and LRTK filling in details that are difficult for drones to capture.

Q. What use cases and site types are suitable? A. Smartphone point cloud measurement with LRTK is used across many situations in civil engineering and architecture. For example, in finished-condition management of roads and earthworks, scanning the completed terrain and comparing it with design data helps quality control. For bridge and tunnel maintenance, point clouds record deterioration for repair planning. In disaster response, one technician can walk through a damaged area to obtain point cloud data and share it immediately with remote support centers. For buried utility work, scanning the locations of pipes and cables before backfilling helps future excavations. In these ways, LRTK contributes to field DX across construction management, disaster response, and infrastructure inspection.