New Frontier in 200 m (656.2 ft)-Class LiDAR Point Cloud Technology: High-Quality Data Enabled by Proprietary Methods

Table of Contents

• Introduction

• What Is 200 m (656.2 ft)-Class LiDAR Point Cloud Technology?

• Conventional Technologies and Their Challenges

• High-Quality Data Realized by a Proprietary Method

• Main Use Cases for 200 m (656.2 ft)-Class LiDAR

• Benefits for Field Work

• Simple Surveying with LRTK

• FAQ

Introduction

In construction and civil engineering sites, 3D point cloud data measurement using LiDAR has become an indispensable technology for precise as-built understanding and digitalization. Recently, LiDAR capable of long-range measurement, referred to as “200 m (656.2 ft)-class,” has emerged in point cloud measurement technology, opening new horizons for measuring large-scale targets that were previously difficult. Traditionally, due to limitations such as laser receiver sensitivity, effective LiDAR range was at most several tens to around 100 m (328.1 ft), but the latest technologies can stably measure even at about 200 m (656.2 ft), roughly twice that distance. Being able to obtain high-density, high-accuracy data from such a long distance of 200 m (656.2 ft) has significant impacts on surveying and measurement. This article explains the new frontier realized by 200 m (656.2 ft)-class LiDAR point cloud technology and the high-quality data produced by its proprietary methods.

What Is 200 m (656.2 ft)-Class LiDAR Point Cloud Technology?

First, let’s clarify what 200 m (656.2 ft)-class LiDAR point cloud technology is. This refers to a class of LiDAR systems that use laser light to measure distances to targets and generate point cloud data, and that can measure objects about 200 m (656.2 ft) away. Typically, LiDAR embedded in common mobile devices (for example, smartphone LiDAR) can measure on the order of a few meters, and terrestrial 3D laser scanners commonly measure ranges of several tens up to around 100 m (328.1 ft). In contrast, 200 m (656.2 ft)-class LiDAR can project lasers to distances around 200 m (656.2 ft), capturing distant structures and terrain details in 3D.

The attention on 200 m (656.2 ft)-class LiDAR stems from needs to measure wide areas in one pass and to safely measure high or distant objects from the ground. For example, if large structures like bridges or dams, steep slopes, or overhead power lines can be measured accurately from a distance, surveying efficiency and safety improve dramatically. The 200 m (656.2 ft) measurement capability is therefore expected to enable higher-quality data acquisition in such scenarios.

Conventional Technologies and Their Challenges

Conventionally, obtaining point cloud data of wide areas or large structures required several approaches. One typical method uses a terrestrial 3D laser scanner, setting tripods at multiple positions around the target to scan. However, this method requires many repositionings because of limited measurement range, which lengthens on-site measurement time and necessitates post-processing to stitch together the acquired point clouds. Additionally, preparatory work such as placing alignment targets (markers) and surveying the locations of those markers with separate surveying instruments was indispensable, making large-scale surveying labor- and personnel-intensive.

Another approach is using drones for aerial photogrammetry or laser scanning. Drone surveys can cover wide areas efficiently, but aerial measurements may miss the backside of structures or parts hidden by trees. There are also many situations where drones cannot be used due to flight permission issues, weather constraints, or no-fly zones in urban areas. Photogrammetry also has drawbacks such as requiring massive post-processing computations on high-performance PCs, reducing real-time capability.

In all of these methods, georeferencing the obtained point cloud data into a global coordinate system required specialized know-how and effort. Integrating multiple data sources required aligning their coordinate systems, which became a barrier to on-site DX (digital transformation). To summarize the challenges of conventional technologies:

• Multiple scan positions are required, increasing on-site measurement and post-processing time

• Preparatory work such as marker placement and control point surveying for global alignment is cumbersome

• Large equipment and specialized knowledge are required, creating dependence on a limited pool of experts

• Drone surveys have blind spots and flight-restricted areas, leaving some areas uncovered

High-Quality Data Realized by a Proprietary Method

To address these challenges and fully leverage the potential of 200 m (656.2 ft)-class LiDAR point cloud technology, a measurement system based on a proprietary method that fuses GNSS-RTK and LiDAR has emerged. This method uses a handheld device that integrates a high-precision RTK-GNSS receiver and a high-performance laser scanner, enabling the operator to walk while scanning large areas and obtain high-precision position information in real time.

Furthermore, sensor fusion technology combines GNSS data with measurements from onboard IMUs (inertial measurement units) that capture scanner attitude changes, enabling stable self-localization even while moving. The high accuracy maintained during walking scans is achieved by integrating data from multiple sensors.

Target placement and post-measurement point cloud merging and alignment—previously essential—are greatly simplified by this integrated device. The point clouds obtained by laser scanning are assigned global coordinates with centimeter-level accuracy (cm level accuracy, half-inch accuracy) at the time of measurement. In other words, the acquired point clouds are already positioned in an absolute coordinate system such as a geodetic datum on site. Multiple point cloud datasets captured separately automatically overlay on the same reference coordinate base, eliminating the need for manual alignment later.

The strengths of the proprietary method go further. For example, this LiDAR scanner developed for long-range measurement has the high sensitivity and resolution to capture thin objects such as transmission lines 200 m (656.2 ft) away without missing them. Very thin wires or the tips of towers that were difficult to capture with conventional mobile LiDAR can be reliably detected and converted into 3D data, making the technology powerful for infrastructure inspection. Also, since the acquired point clouds can be displayed in real time on a tablet screen for leakage checks, rescans due to missed coverage can be prevented, ensuring the required area is fully captured.

Thus, point cloud data produced by fusing GNSS positioning and LiDAR measurement are high-quality: wide-area, high-density datasets accurately tied to Earth coordinates. Compared with conventional methods, this enables a quantum leap in both spatial accuracy and measurement efficiency.

Main Use Cases for 200 m (656.2 ft)-Class LiDAR

Let’s look at representative scenarios where 200 m (656.2 ft)-class LiDAR point cloud technology can be applied on-site.

• Large infrastructure measurement: Bridges, viaducts, dams, towers, and other large structures that previously required multiple scan positions can now be measured from a distance in one pass. The entire structure can be 3D measured from safe positions without using aerial work platforms or temporary scaffolding.

• Wide-area terrain surveying: Terrains of several hectares can be covered in roughly an hour. Areas where drone surveys are difficult—such as urban areas or places with complex radio environments—can be reliably surveyed from the ground.

• Investigation of steep slopes and cliffs: Cliffs and slopes can be detailed into point clouds from a distance, aiding investigations of landslide-prone areas and monitoring slope deformations. Data collection can be done without sending personnel into hazardous zones, improving safety.

• Inspection of overhead installations and wiring: Tall, slender equipment like power lines and communication cables, difficult to observe from the ground, can be captured from a single ground position with 200 m (656.2 ft)-class LiDAR. Infrastructure inspections and maintenance can be 3D digitized in a short time.

• Periodic measurement and monitoring: Scanning the same area periodically and comparing results makes progress tracking and terrain-change monitoring straightforward. Because all acquired data are on a common coordinate system, temporal changes can be understood with high precision.

Benefits for Field Work

Through the use cases above, 200 m (656.2 ft)-class LiDAR point cloud technology brings many benefits to field operations. Here are the main advantages:

• Significant reduction in surveying time: Large areas can be measured in one pass, reducing device relocations and re-setup, so on-site surveying completes much faster. Simplified preparation and post-processing also contribute to shorter overall project lead times.

• Reduced costs and personnel: Heavy equipment and large crews required for surveying can be reduced, enabling labor savings. Because the system can be operated without specialized experts, training costs are also lowered.

• Improved data accuracy and reliability: Position accuracy from GNSS-RTK combined with high-performance LiDAR measurement produces very high-precision point clouds. Data with accurate absolute coordinates provide a reliable foundation for subsequent design and construction, reducing rework and error-related issues.

• Enhanced safety: Remote measurement of hazardous locations reduces the need for personnel to enter dangerous areas, lowering safety risks. Shorter on-site work times also reduce traffic control and site occupancy durations, minimizing impact on surroundings.

• Adaptability to measurement environments: LiDAR using laser light maintains accuracy even at night or in dim conditions. Unlike photogrammetry, LiDAR is less affected by lighting and can stably acquire data in light rain or dusty conditions.

• Ease of data integration: Since data are acquired in a unified coordinate system from the start, overlaying with other survey or design data (BIM/CIM, etc.) is smooth. Data from multiple sensors can be easily integrated, facilitating the construction of a comprehensive digital twin of the site.

• Immediate feedback and quality control: Because point clouds can be checked on site during acquisition, omissions or measurement errors can be identified and corrected immediately. This prevents re-surveying and ensures consistently high-quality deliverables.

Simple Surveying with LRTK

While 200 m (656.2 ft)-class LiDAR point cloud technology opens new possibilities in surveying, reliable solutions are needed to apply it on site. Attention has therefore turned to the LRTK series, which packages these proprietary technologies into an easy-to-use surveying solution. LRTK is designed to combine GNSS-RTK precision positioning with various measurement devices so that anyone can easily acquire high-accuracy 3D data.

For example, the handheld 3D scanner “LRTK LiDAR” integrates 200 m (656.2 ft)-class laser scanning performance with RTK positioning in a single device, enabling high-quality point cloud acquisition without complex operations. Surveying is completed simply by pointing the device and walking; there is no need to worry about difficult marker placement or cumbersome post-processing, so tasks that previously required specialists can be handled by on-site staff. The LRTK series also includes easy smartphone-based measurement devices like “LRTK Phone” and cloud services that interoperate with drones and 360-degree cameras, supporting on-site DX with a variety of tools. Acquired point clouds and photos are automatically uploaded to the cloud for centralized management and processing. Without a high-performance PC, data can be viewed and analyzed via a web browser, enabling immediate information sharing between field and office and quick feedback on tasks.

The greatest value of simple surveying with LRTK is that it lowers the barrier of the surveying process itself. When anyone on site can obtain the necessary data at the necessary time without expensive equipment or advanced expertise, workflows change dramatically. Precise point clouds and photographic information shared in real time improve communication and decision-making among stakeholders, leading to overall efficiency and quality improvements in construction. The fusion of 200 m (656.2 ft)-class LiDAR point cloud technology and the LRTK series is evolving surveying into a new era of “simple surveying.” The spread of these innovative technologies will further accelerate on-site DX.

FAQ

Q: What is 200 m (656.2 ft)-class LiDAR point cloud technology? A: It is a technology that uses high-performance LiDAR capable of laser measurement to about 200 m (656.2 ft) to acquire high-precision 3D point cloud data. It is suitable for large-scale surveying and infrastructure inspection because it can capture distant objects in detail.

Q: How does it differ from conventional laser scanners? A: The main differences are measurement range and workflow. 200 m (656.2 ft)-class LiDAR dramatically extends measurable distance, and by simultaneously acquiring position information via GNSS-RTK, marker setup and post-processing alignment are unnecessary. As a result, high-precision results can be obtained in a short time.

Q: Can it be operated without specialized skills? A: Yes. Because you can view point clouds in real time while scanning, anyone can operate it intuitively. Surveying is completed by simply walking while pointing the device, with no need to manage difficult settings or complex data processing.

Q: Is it necessary to prepare markers or control points? A: No. In systems with built-in GNSS-RTK, acquired point clouds are automatically assigned absolute coordinates, eliminating the need for traditional target placement or control point surveying.

Q: What level of data accuracy can be ensured? A: Positioning accuracy obtained by GNSS-RTK is on the order of a few centimeters, and LiDAR distance measurement itself is also highly accurate, so the overall point cloud achieves very high precision. In practice, measurement results can reach accuracy equivalent to or exceeding conventional terrestrial laser scanners.

Q: Can it capture thin objects like power lines? A: Yes. 200 m (656.2 ft)-class LiDAR is equipped with high-sensitivity laser sensors and can capture thin power lines and antennas at long distances as point clouds. This ensures small-diameter objects that were often overlooked by conventional methods are properly recorded.

Q: Can it be used where drones cannot fly? A: Yes. Because measurements are taken from the ground, it is suitable for no-fly zones and indoor spaces. It is effective in narrow urban areas or environments with many obstacles, leveraging the advantages of ground-based systems. Data from drones can also be easily integrated, allowing flexible use depending on the situation.

Q: Can it really survey large areas in a short time? A: Yes. Improved measurement range and speed enable much faster wide-area surveys than before. For example, there are cases where point cloud data for several hectares were acquired in about an hour. Actual times depend on site conditions, but significant efficiency gains over conventional methods have been reported.

Q: What are the advantages compared with other measurement methods such as photogrammetry? A: LiDAR directly captures object geometry with lasers, so it can be used in dark or nighttime conditions and accurately captures objects without texture. Another major advantage is the ability to obtain absolute coordinates via GNSS integration. Photogrammetry often requires ground control points and time-consuming image processing for high accuracy, whereas LiDAR provides high-precision point clouds on site and shortens processing time. Photogrammetry, however, excels at realistic color imaging, so the two methods can complement each other when used together.

Q: How can I introduce the latest technology? A: To easily adopt 200 m (656.2 ft)-class LiDAR point cloud technology, leveraging an integrated solution like the LRTK series is the quickest route. These solutions bundle dedicated hardware and cloud services, enabling even first-time users to start operation smoothly. It is recommended to contact specialized manufacturers or providers for demos and implementation consultations.