Study and Realization of Dual-Mode Mobile Light Detection and Ranging Measurement System

Most existing mobile LIDAR measurement systems use a GNSS/INS combination method for attitude positioning. This method requires a constant GNSS signal to correct the IMU's positioning and attitude. In the absence of GNSS signals, the IMU's positioning accuracy rapidly deteriorates from the centimeter to sub-meter, or even meter levels. To address the positioning limitations of mobile measurement systems without GNSS signals, this paper presents a dual-mode mobile lidar measurement system that combines the GNSS/INS and INS/wheel speed sensor positioning methods, with a time-synchronization controller that automatically switches between the two modes to cope with the loss of GNSS signals. The system uses a high-precision quartz crystal oscillator to simulate the GNSS time data and converts them to an NEMA standard time signal and a PPS signal to synchronize each sensor. The experimental results of the system show that the trajectory error of the dual-mode mobile measurement system reaches 3 m in the X-direction within 600 S compared with that of the ordinary mobile measurement system with GNSS/INS integration mode, and the dual-mode mobile measurement system controls the trajectory error within 1 m, reduces the error in the Y-direction from 2 m to less than 1 m, and reduces the error in the Z-direction from 3 m to less than 2 m. The dual-mode mobile LiDAR measurement system is not only suitable for outdoor road measurement, but also can effectively correct the positioning and attitude errors in the environment without GNSS signals, such as underground and tunnel, showing significant advantages in a variety of measurement scenarios.

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Publication Details

Journal
Sensors
Published
2025-04-24
DOI
https://doi.org/10.3390/s25092679
Primary Topic
Advanced Optical Sensing Technologies
Type
article
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article

Study and Realization of Dual-Mode Mobile Light Detection and Ranging Measurement System

Liqiong Liao, Zongquan Li, Ming Guo, Dengke Li et al.
Sensors
Advanced Optical Sensing Technologies
article

Study and Realization of Dual-Mode Mobile Light Detection and Ranging Measurement System

Liqiong Liao, Zongquan Li, Ming Guo, Dengke Li, Chen Cai, Yuquan Zhou, Xiaoshan Wu, Xian Ren
article en

Abstract

Most existing mobile LIDAR measurement systems use a GNSS/INS combination method for attitude positioning. This method requires a constant GNSS signal to correct the IMU's positioning and attitude. In the absence of GNSS signals, the IMU's positioning accuracy rapidly deteriorates from the centimeter to sub-meter, or even meter levels. To address the positioning limitations of mobile measurement systems without GNSS signals, this paper presents a dual-mode mobile lidar measurement system that combines the GNSS/INS and INS/wheel speed sensor positioning methods, with a time-synchronization controller that automatically switches between the two modes to cope with the loss of GNSS signals. The system uses a high-precision quartz crystal oscillator to simulate the GNSS time data and converts them to an NEMA standard time signal and a PPS signal to synchronize each sensor. The experimental results of the system show that the trajectory error of the dual-mode mobile measurement system reaches 3 m in the X-direction within 600 S compared with that of the ordinary mobile measurement system with GNSS/INS integration mode, and the dual-mode mobile measurement system controls the trajectory error within 1 m, reduces the error in the Y-direction from 2 m to less than 1 m, and reduces the error in the Z-direction from 3 m to less than 2 m. The dual-mode mobile LiDAR measurement system is not only suitable for outdoor road measurement, but also can effectively correct the positioning and attitude errors in the environment without GNSS signals, such as underground and tunnel, showing significant advantages in a variety of measurement scenarios.

SensorsVol. 25(9)
Zhejiang University of Science and Technology (CN), National Administration of Surveying, Mapping and Geoinformation of China (CN), Beijing University of Civil Engineering and Architecture (CN)
Sustainable cities and communities
Openalex Percentile: Top 91%
Advanced Optical Sensing Technologies
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