High-Accuracy Position-Aware Robot for Agricultural Automation Using Low-Cost IMU-Coupled Triple-Laser-Guided (TLG) System

被引:2
作者
Kaewkorn, Supod [1 ]
Ekpanyapong, Mongkol [1 ]
Thamma, Ukrit [2 ]
机构
[1] Sch Engn & Technol, Asian Inst Technol, Khlong Nueng 12120, Thailand
[2] King Mongkuts Univ Technol North Bangkok, Coll Ind Technol, Bangkok 10800, Thailand
关键词
Laser tracking system; localization; inertial measurement unit (IMU); sensor fusion; position control; RTK-GNSS; LOCALIZATION; FUSION; ATTITUDE;
D O I
10.1109/ACCESS.2021.3071554
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
A novel, low-cost approach to high-accuracy robot localization for agricultural applications using an image-processing triple-laser-guided (TLG) system coupled with an inertial measurement unit (IMU) is presented in this paper. The TLG system consists of a laser-pointing unit (LPU) at the base station and a laser-target unit (LTU) at the mobile robot. The robot's XYZ position and heading are determined from the positions and the angles relative to the field of both LPU and LTU. The robot's roll and pitch are determined by the IMU sensor fusion with complementary filter. The IMU-coupled TLG system is demonstrated on an outdoor, 20 x 21 m flat field at various light intensities. The overall lateral and vertical accuracies of the IMU-coupled TLG system are 1.68 cm and 0.59 cm, respectively. The overall heading, roll, and pitch accuracies of the IMU-coupled TLG system are 0.90 degrees, 0.78 degrees, and 0.76 degrees, respectively. The lateral and heading accuracies of the IMU-coupled TLG system are found to be comparable to commercially available GNSS-INS systems from NovAtel and Trimble, while the total cost of the IMU-coupled TLG system is only a fraction of the total cost of the commercially available localization systems.
引用
收藏
页码:54325 / 54337
页数:13
相关论文
共 27 条
[11]   Online 3D Mapping and Localization System for Agricultural Robots [J].
Le, Tuan ;
Gjevestad, Jon Glenn Omholt ;
From, Pal Johan .
IFAC PAPERSONLINE, 2019, 52 (30) :167-172
[12]   High-Accuracy Adaptive Low-Cost Location Sensing Subsystems for Autonomous Rover in Precision Agriculture [J].
Levoir, Samuel J. ;
Farley, Peter A. ;
Sun, Tao ;
Xu, Chong .
IEEE OPEN JOURNAL OF INDUSTRY APPLICATIONS, 2020, 1 :74-94
[13]   Accuracy and precision evaluation of two low-cost RTK global navigation satellite systems [J].
Magalhaes Valente, Domingos Sarvio ;
Momin, Abdul ;
Grift, Tony ;
Hansen, Alan .
COMPUTERS AND ELECTRONICS IN AGRICULTURE, 2020, 168
[14]   RTK-LoRa: High-Precision, Long-Range, and Energy-Efficient Localization for Mobile IoT Devices [J].
Mayer, Philipp ;
Magno, Michele ;
Berger, Armin ;
Benini, Luca .
IEEE TRANSACTIONS ON INSTRUMENTATION AND MEASUREMENT, 2021, 70
[15]   Precise localization of the mobile wheeled robot using sensor fusion of odometry, visual artificial landmarks and inertial sensors [J].
Nemec, Dusan ;
Simak, Vojtech ;
Janota, Ales ;
Hrubos, Marian ;
Bubenikova, Emilia .
ROBOTICS AND AUTONOMOUS SYSTEMS, 2019, 112 :168-177
[16]  
Ngo T., 2017, P INT C SYST SCI ENG, P488, DOI [10.1109/ICSSE.2017.8030922, DOI 10.1109/ICSSE.2017.8030922]
[17]   A Continuous Positioning Algorithm Based on RTK and VI-SLAM With Smartphones [J].
Niu, Zun ;
Zhao, Xinyang ;
Sun, Junren ;
Tao, Lin ;
Zhu, Bocheng .
IEEE ACCESS, 2020, 8 :185638-185650
[18]   New Approach for Beacons Based Mobile Robot Localization using Kalman Filters [J].
Paulo Moreira, A. ;
Costa, Paulo ;
Lima, Jose .
30TH INTERNATIONAL CONFERENCE ON FLEXIBLE AUTOMATION AND INTELLIGENT MANUFACTURING (FAIM2021), 2020, 51 :512-519
[19]   Experimental Testbed and Methodology for the Assessment of RTK GNSS Receivers Used in Precision Agriculture [J].
Pini, Marco ;
Marucco, Gianluca ;
Falco, Gianluca ;
Nicola, Mario ;
De Wilde, Wim .
IEEE ACCESS, 2020, 8 :14690-14703
[20]  
Schnaufer B, 2016, I NAVIG SAT DIV INT, P3669