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

Cai Chen, Xiangling Wu, Ming Guo, Xian Ren, Yuquan Zhou, Dengke Li, Liqiong Liao, Zitian Li

Abstract read

In one paragraph

Article in Sensors (Basel, Switzerland), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Cai ChenSchool of Automation and Electrical Engineering, Zhejiang University of Science and Technology, Hangzhou 310023, China.

Xiangling WuSchool of Surveying and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing 102616, China.

Ming GuoSchool of Surveying and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing 102616, China.

Xian RenSchool of Surveying and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing 102616, China.

Yuquan ZhouSchool of Surveying and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing 102616, China.

Dengke LiSchool of Surveying and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing 102616, China.

Liqiong LiaoSchool of Surveying and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing 102616, China.

Zitian LiSchool of Surveying and Urban Spatial Information, Beijing University of Civil Engineering and Architecture, Beijing 102616, China.

Funding

National Natural Science Foundation of China Grant No. 41971350The National key research and development project of China Grant No.: 2021YFF0602005-03;2022YFF0904400;2021YFF0306303

6 · The paper itself

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.

Indexed as

GNSSmobile LiDAR measurement systemnavigation and positioning systempoint cloudtime synchronization

Identifiers

PMID40363118

DOI10.3390/s25092679

PMCPMC12074249

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.