UAS aided landing and obstacle detection through LIDAR-Sonar data

被引：0
|
作者：
Papa, Umberto [1 ]
Ariante, Gennaro [1 ]
Del Core, Giuseppe [1 ]
机构：
[1] Univ Naples Parthenope, Dept Sci & Technol, Naples, Italy
来源：
2018 5TH IEEE INTERNATIONAL WORKSHOP ON METROLOGY FOR AEROSPACE (METROAEROSPACE) | 2018年
关键词：
Sensors Fusion; UAS; Obstacle Detection; Aided Landing; SR; LIDAR;
D O I：
暂无
中图分类号：
V [航空、航天];
学科分类号：
08 ; 0825 ;
摘要：
Unmanned Aircraft Systems (UASs) have gained large consensus during the last decade, due to their versatility in military and civilian tasks. For some operations, it is necessary to have a good sensor embedded platform that allows navigation in unknown environment. This paper shows the use of low-cost sensors fusion for obstacle detection and avoidance: Sonic ranger (SR) and Light detection and ranging (LIDAR). Further sensors are also installed on the UAS (e.g. ADXL335 3-axis accelerometer), in order to have redundant information for the relative position evaluation. Simulation and experimental results are provided to determine feasibility of the proposed approach to detection and avoidance applications on a small rotary wing UAS.
引用
收藏
页码：478 / 483
页数：6
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