<div style="text-align:justify;"> In this work, a design of a compact optical MEMS-based lidar scanning system with a large field of view (FOV) and small distortion is presented. The scanning system ap...<div style="text-align:justify;"> In this work, a design of a compact optical MEMS-based lidar scanning system with a large field of view (FOV) and small distortion is presented. The scanning system applies an off-axis structure and the length of the system can be reduced to about 10 cm in an optimized way. Simulation results show that a large FOV is achieved under a uniform scanning scheme. In addition, the spot size less than 20 cm at distance of 100 m is also realized. The optical scanning system can be used for the vehicle-mounted Lidar. </div>展开更多
Agricultural projects in different parts of the world depend on underground water wells.Recently,there have been many unfortunate incidents inwhich children have died in abandoned undergroundwells.Providing topographi...Agricultural projects in different parts of the world depend on underground water wells.Recently,there have been many unfortunate incidents inwhich children have died in abandoned undergroundwells.Providing topographical information for these wells is a prerequisite to protecting people from the dangers of falling into them,especially since most of these wells become buried over time.Many solutions have been developed recently,most with the aimof exploring these well areas.However,these systems suffer fromseveral limitations,including high complexity,large size,or inefficiency.This paper focuses on the development of a smart exploration unit that is able to investigate underground well areas,build a 3D map,search for persons and animals,and determine the levels of oxygen and other gases.The exploration unit has been implemented and validated through several experiments using various experiment testbeds.The results proved the efficiency of the developed exploration unit,in terms of 3D modeling,searching,communication,and measuring the level of oxygen.The average accuracy of the 3D modeling function is approximately 95.5%.A benchmark has been presented for comparing our results with related works,and the comparison has proven the contributions and novelty of the proposed system’s results.展开更多
文摘<div style="text-align:justify;"> In this work, a design of a compact optical MEMS-based lidar scanning system with a large field of view (FOV) and small distortion is presented. The scanning system applies an off-axis structure and the length of the system can be reduced to about 10 cm in an optimized way. Simulation results show that a large FOV is achieved under a uniform scanning scheme. In addition, the spot size less than 20 cm at distance of 100 m is also realized. The optical scanning system can be used for the vehicle-mounted Lidar. </div>
基金financially supported by the Deanship of Scientific Research(DSR)at the University of Tabuk,Tabuk,Saudi Arabia,under Grant No.[1441-105].
文摘Agricultural projects in different parts of the world depend on underground water wells.Recently,there have been many unfortunate incidents inwhich children have died in abandoned undergroundwells.Providing topographical information for these wells is a prerequisite to protecting people from the dangers of falling into them,especially since most of these wells become buried over time.Many solutions have been developed recently,most with the aimof exploring these well areas.However,these systems suffer fromseveral limitations,including high complexity,large size,or inefficiency.This paper focuses on the development of a smart exploration unit that is able to investigate underground well areas,build a 3D map,search for persons and animals,and determine the levels of oxygen and other gases.The exploration unit has been implemented and validated through several experiments using various experiment testbeds.The results proved the efficiency of the developed exploration unit,in terms of 3D modeling,searching,communication,and measuring the level of oxygen.The average accuracy of the 3D modeling function is approximately 95.5%.A benchmark has been presented for comparing our results with related works,and the comparison has proven the contributions and novelty of the proposed system’s results.
