Improved sampling scheme for LiDAR in Lissajous scanning mode

作     者：Junya Wang Gaofei Zhang Zheng You 

作者机构：School of Mechanical Science and EngineeringHuazhong University of Science and Technology430074 WuhanChina Department of Precision InstrumentTsinghua University10084 BeijingChina State Key Laboratory of Precision Measurement Technology and instrumentsTsinghua University10084 BeijingChina 

出 版 物：《Microsystems & Nanoengineering》 (微系统与纳米工程（英文）)

年 卷 期：2022年第8卷第3期

页      面：29-37页

核心收录：

学科分类：080904[工学-电磁场与微波技术] 0810[工学-信息与通信工程] 0809[工学-电子科学与技术（可授工学、理学学位）] 08[工学] 081105[工学-导航、制导与控制] 081001[工学-通信与信息系统] 081002[工学-信号与信息处理] 0825[工学-航空宇航科学与技术] 0811[工学-控制科学与工程] 

基　　金：supported by the National Key Research and Development Program of China under grant No.2016YFB0500902 and the Beijing Innovation Center for Future Chips Tsinghua University 

主　　题：LiDAR scheme mode 

摘      要：MEMS light detection and ranging(LiDAR)is becoming an indispensable sensor in vehicle environment sensing systems due to its low cost and high *** beam scanning trajectory,sampling scheme and gridding are the key technologies of MEMS LiDAR *** Lissajous scanning mode,this paper improves the sampling scheme,through which a denser Cartesian grid of point cloud data at the same scanning frequency can be *** summarizing the rules of the Cartesian grid,a general sampling scheme independent of the beam scanning trajectory patterns is *** and experiment results show that compared with the existing sampling scheme,the resolution and the number of points per frame are both increased by 2 times with the same hardware configuration and scanning frequencies for a MEMS scanning miror(MEMS-SM).This is beneficial for improving the point cloud imaging performance of MEMS LiDAR.