Optimization of Multiple Laser Range Finder Distribution Based on Genetic Algorithm

被引：0

作者：

Zhang, Zihao ^{[1
]}

Wang, Xinhua ^{[1
]}

Sun, Peng ^{[1
]}

机构：

[1] Nanjing Univ Aeronaut & Astronaut, Coll Automat Engn, Nanjing, Jiangsu, Peoples R China

来源：

2017 INTERNATIONAL CONFERENCE ON COMPUTER SYSTEMS, ELECTRONICS AND CONTROL (ICCSEC) | 2017年

关键词：

UAV; automatic landing; optimization; genetic algorithm;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

This paper deals with the optimization of multiple laser ranger finder distribution used for Shipborne Unmanned Aerial Vehicles (UAVs) automatic landing. The aim of this study is to improve the measurement accuracy of shipborne multiple laser ranger finder intersection location method. Firstly, the exact mathematical relationship between the distribution and measurement accuracy of multiple laser ranger finder is discussed, and the objective function of optimization is constructed. Then the geometry of the ship deck which will constrain the distribution is considered. Genetic algorithm is used to solve the optimization problem. At last, the simulation experiments based on MATLAB are presented and the experiment results indicate that optimal distribution is effective in reducing measurement error of shipborne multiple laser ranger finder intersection location method.

引用

页码：1481 / 1485

页数：5

共 50 条

[31] Optimization for multiple traveling salesman problem based on genetic algorithm
Management School, Hangzhou Dianzi University, Hangzhou, China
不详
J Mech Eng Res Dev, 2 (62-69):
[32] Optimization of switching plan for distribution transformers based on genetic algorithm
Wang, Cheng-Min
She, Chu-Yun
Dianwang Jishu/Power System Technology, 2010, 34 (04): : 43 - 45
[33] Multiple Vehicle Tracking Based on Labeled Multiple Bernoulli Filter Using Pre-Clustered Laser Range Finder Data
Dai, Kunpeng
Wang, Yafei
Ji, Qinghui
Du, Haiping
Yin, Chengliang
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2019, 68 (11) : 10382 - 10393
[34] Lane Surface Identification Based on Reflectance using Laser Range Finder
20151000592863
(1) Intelligent Systems Laboratory, Graduate School of Electrical Engineering, University of Ulsan, 680-749, Korea, Republic of, 1600, IEEE Industrial Electronic Society; IEEE Robotics and Automation Society; SICE System Integration Division (Institute of Electrical and Electronics Engineers Inc., United States):
[35] Design of Pulse-phase Laser Range Finder Based on DSP
Lu Changhua
Zhang Xiao
PROCEEDINGS OF THE THIRD INTERNATIONAL SYMPOSIUM ON TEST AUTOMATION & INSTRUMENTATION, VOLS 1 - 4, 2010, : 573 - 576
[36] Lane Surface Identification Based on Reflectance using Laser Range Finder
Hernandez, Danilo Caceres
Van-Dung Hoang
Jo, Kang-Hyun
2014 IEEE/SICE INTERNATIONAL SYMPOSIUM ON SYSTEM INTEGRATION (SII), 2014, : 621 - 625
[37] A FMCW laser range-finder based on a delay line technique
Dupuy, D
Lescure, M
Cousineau, M
IMTC/2001: PROCEEDINGS OF THE 18TH IEEE INSTRUMENTATION AND MEASUREMENT TECHNOLOGY CONFERENCE, VOLS 1-3: REDISCOVERING MEASUREMENT IN THE AGE OF INFORMATICS, 2001, : 1084 - 1088
[38] A Customized FastSLAM Algorithm Using Scanning Laser Range Finder in Structured Indoor Environments
Hon, Bo Xuan
Tian, Hongyu
Wang, Fei
Chen, Ben M.
Lee, Tong H.
2013 10TH IEEE INTERNATIONAL CONFERENCE ON CONTROL AND AUTOMATION (ICCA), 2013, : 640 - 645
[39] A laser triangulation range finder based on a chaotic modulation and detection system
Stefani, MA
Pizolato, JC
Neto, LG
SIGNAL PROCESSING, SENSOR FUSION, AND TARGET RECOGNITION IX, 2000, 4052 : 321 - 326
[40] A MEMS-based interactive laser scanning display with a collocated laser range finder
Jeon, Sungho
Fujita, Hiroyuki
Toshiyoshi, Hiroshi
IEICE ELECTRONICS EXPRESS, 2015, 12 (10):

← 1 2 3 4 5 →