The patent badge is an abbreviated version of the USPTO patent document. The patent badge does contain a link to the full patent document.
The patent badge is an abbreviated version of the USPTO patent document. The patent badge covers the following: Patent number, Date patent was issued, Date patent was filed, Title of the patent, Applicant, Inventor, Assignee, Attorney firm, Primary examiner, Assistant examiner, CPCs, and Abstract. The patent badge does contain a link to the full patent document (in Adobe Acrobat format, aka pdf). To download or print any patent click here.
Patent No.:
Date of Patent:
Jul. 12, 2022
Filed:
Dec. 25, 2017
Chongqing Survey Institute, Chongqing, CN;
Chongqing Cybercity Sci-tech Co., Ltd., Chongqing, CN;
Hanxin Chen, Chongqing, CN;
Zejun Xiang, Chongqing, CN;
Chuan Long, Chongqing, CN;
Jing Ming, Chongqing, CN;
Yonggang Gou, Chongqing, CN;
Nan Lv, Chongqing, CN;
Han Chen, Chongqing, CN;
Zaiqian Luo, Chongqing, CN;
Feng Li, Chongqing, CN;
Zhi Huang, Chongqing, CN;
Xiaolin Hu, Chongqing, CN;
CHONGQING SURVEY INSTITUTE, Chongqing, CN;
CHONGQING CYBERCITY SCI-TECH CO., LTD., Chongqing, CN;
Abstract
The present invention provides a point cloud data acquisition method and device under a situation of no GNSS signal. The method comprises: re-sampling line data acquired from a topographic map to obtain discrete line data; generating a full-second PPS pulse in a simulating manner; counting by using a distance measuring instrument, sampling the count, when it is detected that the full-second PPS pulse is received, calculating position information at a current moment; simulating a GNSS satellite protocol according to the position information at the current moment; parsing the GNSS satellite protocol by using a point cloud data acquisition module to complete time synchronization, and controlling a LiDAR to acquire point cloud data; parsing the GNSS satellite protocol by using an inertial measurement module, and recording attitude determination positioning data in real time to generate POS data; and optimizing the POS data to obtain accurate point cloud data.