What are the implementation costs of long-range LiDAR scanning? Model selection and precautions by application

In recent years, LiDAR (pronounced "LIDAR") scans using laser light have attracted attention in various fields such as surveying, mapping, and autonomous driving. Among them, "long-range LiDAR scanning" is expected to be a technology capable of quickly and accurately measuring extensive terrain and structures. However, when introducing high-performance 3D laser scanners, it is necessary to fully understand the acquisition costs, appropriate model selection, and operational considerations. Choosing the wrong model can result in not achieving the expected accuracy or in excessive investment, so it is essential to organize information in advance.

In this article, we explain cost estimates for introducing long-range LiDAR scanning, how to choose a model according to the intended application, and precautions to take during operation.

Table of Contents

• What is long-range LiDAR scanning?

• Costs of implementing long-range LiDAR scanning

• Main applications of long-range LiDAR scanning

• Key points for selecting LiDAR models based on application

• Points to note when introducing long-range LiDAR scanning

• Summary

What is long-range LiDAR scanning?

LiDAR (Light Detection and Ranging) is a technology that measures distances to objects with laser light and acquires the surrounding shape as three-dimensional data. It operates on the principle of emitting a laser and calculating distance from the time it takes for the light to reflect and return, which enables the generation of point cloud data composed of countless measurement points. Modern LiDAR scanners can perform hundreds of thousands of laser emissions and distance measurements per second, allowing high-density data to be acquired in a short time even in large spaces. In other words, LiDAR is a laser ranging sensor, and a 3D laser scanner is the combination of this sensor with a rotating mechanism, control software, and other components. Long-range LiDAR scanning refers, as the name implies, to measurements made with a type of LiDAR scanner capable of measuring long distances from hundreds of meters (≈ 330–3,300 ft) to several kilometers (≈ 3,300–32,800 ft).

For LiDAR systems that generally enable long-range measurement, the Time-of-Flight method is used, which emits high-power laser light intermittently (pulsed) and measures the time difference. Because the pulsed method is resistant to laser attenuation, it is suitable for wide-area topographic surveying, aerial measurements, and measuring distant structures. On the other hand, when high precision is required at short range—such as detailed measurements inside buildings—the phase-shift method, which uses the phase difference of a continuous wave, may be used. Thus, while LiDAR employs different methods depending on the application, long-range LiDAR scanning has advantages over other measurement techniques in its ability to efficiently create three-dimensional data over wide areas. For example, because it can safely measure from a distance even targets in difficult-to-access terrain or at height, it is used in civil surveying and infrastructure inspection.

Costs of Implementing Long-Range LiDAR Scanning

When introducing long-range LiDAR scanning, the largest cost factor is the purchase price of the LiDAR scanner itself. The price of LiDAR equipment varies greatly depending on type and performance, ranging from simple short-range models to high-performance wide-area measurement models. In particular, professional LiDAR scanners capable of measuring distances of several hundred meters or more (several hundred ft or more) with high accuracy are equipped with advanced sensors and optics and tend to be quite expensive. For example, handheld compact LiDAR devices that can be carried in one hand are relatively inexpensive, but they have limitations in achievable measurement range and accuracy. Conversely, large stationary scanners equipped with multiple laser emitters and high-sensitivity sensors for long-distance use are very costly, but they deliver both long range and high precision. On the other hand, relatively low-cost products exist if you limit measurement range and accuracy, so it is important to determine the balance between performance and cost that suits your company’s needs.

In addition to equipment costs, implementing a system involves various other expenses. For example, software license fees may be incurred to process and analyze the acquired point cloud data. Many analysis programs dedicated to LiDAR scanners and CAD software are paid, so confirm the required features and costs in advance. Consumables such as targets (control points) and reflective panels, dust filters, and accessories like tripods and mounting fixtures for setting up equipment also incur costs. If you use GNSS receivers and IMUs (inertial measurement units) together for high-precision positioning, their purchase costs and service fees should also be considered.

And one must not forget maintenance and support costs. LiDAR scanners, being expensive precision instruments, maintain their accuracy through regular calibration and inspections. Some manufacturers and dealers offer maintenance contracts and support services that provide peace of mind—such as handling inquiries, software updates, and repairs—but these also incur costs like annual contract fees. Before implementation, it is important to estimate the overall costs, not just the purchase price but from the start of operation through ongoing maintenance, and to prepare a budget plan.

Depending on frequency and scale, renting or using external measurement services can be more cost-effective than purchasing outright. Assess whether you plan to use the equipment continuously in-house or whether the project is a one-off, and decide accordingly. Also, in recent years there have been cases where subsidies or grant programs have been established to support the introduction of 3D measurement equipment. If you can take advantage of such programs, you can somewhat reduce the burden of initial costs.

Main Applications of Long-range LiDAR Scanning

Long-range LiDAR scanning is being utilized across a variety of fields because of its ability to measure wide areas at once. One typical application is surveying and civil engineering. In large-area topographic surveys, terrain such as forests and steep slopes that are difficult to survey manually can be measured safely from a distance. The high-density point cloud data obtained is useful as basic material for creating topographic maps and for civil engineering design. LiDAR scanning is also used for inspection of infrastructure such as bridges, tunnels, and dams. It can measure deformations and cracks in aging structures without contact, supporting maintenance and management. In architecture as well, efforts are underway to scan the exteriors of historic buildings and high-rise structures from a distance and convert them into 3D models to serve as records of current conditions and as materials for renovation planning.

Meanwhile, in the field of mobility, LiDAR is mounted on autonomous vehicles and drones and used to detect the surrounding environment. In autonomous driving, LiDAR sensors serve as the vehicle's "eyes," detecting pedestrians and obstacles ahead at distances of several hundred meters (several hundred ft) to support safe driving. LiDAR also plays an active role in wide-area observation from the air. For example, in forest resource surveys, drone-mounted LiDAR is used to measure tree height and vegetation density, and in disaster prevention it is used to capture the topography of river levees and mountain slopes through airborne laser scanning to help assess landslide risk. In this way, long-range LiDAR scans are used across a wide range of situations from the ground to the air, achieving efficiencies such as reduced operational risk through remote sensing and rapid situational assessment, and contributing greatly to improved safety and productivity.

Key Points for Selecting LiDAR Models Based on Application

When selecting a long-range LiDAR scanner, it is important to choose a model that matches your company's intended use and site conditions. 3D laser scanners can be broadly classified into ground-based stationary types that are fixed for high-precision measurements, mobile types that can measure while people or vehicles are moving, and drone-mounted types that can survey wide areas from the air. Each differs in accuracy, applicable range, and measurement speed, so selecting the type that fits your company's objectives is also crucial. Blindly adopting a high-performance model can lead to unnecessary investment, while a cheap model may lack the performance needed and hinder operations. First, clarify the required measurement accuracy and range. For example, for applications such as bridge deformation measurement or precise as-built control where errors on the order of millimeters (mm (0.04 in)) are not acceptable, a high-precision scanner mounted on a tripod is required. On the other hand, for rough earthwork volume calculations or general condition surveys before renovation, a mobile scanner (a type that can measure while moving) capable of an accuracy of several centimeters (cm level accuracy (half-inch accuracy)) may be sufficient in many cases. Also, the point cloud density you want to acquire per square meter is another criterion. Increasing density allows you to represent detailed shapes, but it increases data volume and processing load. With future use cases in mind (such as importing into design software or BIM integration), it is important to choose a model that meets the necessary accuracy and density without excess or shortfall.

Next, consider adaptability to the operating environment. If the primary site is outdoors, devices with high dust- and water-resistance (IP rating) or designs that are resistant to temperature and humidity changes are desirable. Whether a device can operate stably in a dusty construction site or in the rain can make a significant difference in actual operation. Also, pay attention to the material of the measurement target. Black asphalt and carbon fiber tend to absorb laser, and glass or mirror surfaces reflect or transmit light, so some models may not measure them well. Recent LiDAR systems have advanced countermeasures for low-reflectivity objects—such as multi-return functionality that captures multiple reflections and increased sensitivity of receiver sensors—but it is reassuring to verify that the performance will provide sufficient data for the main target objects. Additionally, the size and weight of the equipment are important practical factors. For drone mounting, be mindful of payload (carrying weight) limits and impacts on flight time; for vehicle-mounted use, also pay attention to mounting space and vibration countermeasures.

Finally, compatibility with data processing and existing business workflows is also an important point. Point cloud data obtained from 3D scanning can become enormous in size, so high-performance PCs and dedicated software are required. When considering adoption, plan not only for the scanner’s hardware specifications but also for how you will process and utilize that data. Specifically, check whether the data formats output by the scanner are compatible with your company’s CAD or BIM software, and whether tools for point cloud registration/merging and noise removal are available. If necessary, consider cloud-based point cloud processing platforms or external analysis services. By examining the entire flow from measurement to data utilization, you can determine the true cost performance when selecting a model.

Precautions When Introducing Long-Range LiDAR Scanning

When introducing and operating long-range LiDAR scanning, there are several points to keep in mind. First, pay attention to measurement accuracy and calibration. Even if a LiDAR scanner’s performance appears highly accurate on paper, accuracy in the field is affected by environmental factors. Before taking measurements, calibrate the device properly and, if necessary, perform warm-up and verification using calibration targets according to the manufacturer’s recommended procedures. Also, because the laser beam tends to disperse over long distances, errors tend to increase at range. For critical measurements, you can mitigate accuracy loss and occlusions by moving closer to the object for additional scans or by acquiring data from multiple positions and aligning/merging the point clouds (integration of multiple scans).

Next, attention must also be paid to safety and legal regulations. The lasers emitted by LiDAR are usually invisible light and, when used properly, are mostly Class 1 lasers that do not harm the human eye, but some models have higher output, so it is important to follow basic safety measures such as not looking directly into the beam and being considerate of people nearby. In particular, when mounting LiDAR on a drone, comply with flight-related laws and permit requirements and establish a safe operation plan. For aerial laser scanning over densely populated areas, notifying those nearby and taking privacy into account are also indispensable.

Depending on the material of the object being measured, gaps may occur in the point cloud data. Surfaces with black paint, glass, or water have weak reflectivity, so the number of acquired points may decrease and noise may increase. As needed, supplement with photographs or perform LiDAR re-scans from different angles to compensate for missing data.

In addition, prior preparation is required for data processing and operational workflows. High-resolution point cloud data have very large file sizes, and it is not uncommon for a few hours of measurement to reach tens of GB. Immediately after acquisition on site, the data can be too heavy to open on a laptop, so processing on a dedicated PC and data reduction are necessary after bringing the data back to the office. Deciding data management procedures in advance (organizing file names, backups, cloud sharing, etc.) will improve subsequent work efficiency. In addition, training personnel to handle LiDAR scans is important. Even advanced equipment can be wasted without proper operating procedures and knowledge of point cloud analysis. When introducing the equipment, attend training offered by the manufacturer or vendor and have experienced staff share their know-how to establish a system that allows the equipment to be used to its fullest on site.

Summary

Long-range LiDAR scanning is a technology that enables three-dimensional measurement of large-scale spaces that were previously difficult to survey, and it contributes broadly to society—from surveying to infrastructure management and autonomous driving. Its adoption requires equipment costs and specialized knowledge, but with the right choice of model for the intended application and adequate preparation, it can greatly enhance the efficiency and sophistication of measurement operations. As discussed in this article, when evaluating implementation costs you should take a holistic view that includes not only the hardware but also software and operational costs, and selecting the optimal scanner for your purpose is the key to success. Make sure to establish solid plans for on-site safety management and data utilization, and work to embed the latest technologies into field operations.

In recent years, new measurement methods that utilize smartphones have also emerged. For example, by using an iPhone-mounted high-precision GNSS positioning device called LRTK, it is possible to add centimeter-level position information (cm level accuracy (half-inch accuracy)) to point cloud data acquired with a smartphone. This is making it increasingly possible to perform high-precision surveying easily without using dedicated, expensive equipment. In fact, there are cases where LRTK and a smartphone’s built-in LiDAR are combined to scan slopes and bridge piers to obtain detailed 3D point cloud data. When considering the introduction of long-range LiDAR scanning, keeping these latest solutions in mind may reveal cost-effective operational approaches. If long-range LiDAR scanning is implemented correctly, measurement tasks that previously required time-consuming manual work can be dramatically streamlined, enabling decision-making based on highly accurate data. Actively utilize the latest digital technologies and promote on-site DX.