A Three-Photo-Detector Optical Sensor Accurately Localizes a Mobile Robot Indoors by Using Two Infrared Light-Emitting Diodes

被引:20
作者
Bernardes, Evandro [1 ]
Viollet, Stephane [1 ]
Raharijaona, Thibaut [1 ]
机构
[1] Aix Marseille Univ, ISM, CNRS, Marseille, France
关键词
Indoor positioning system; infrared light communication; LED; complementary filter; Kalman filter; robot's localization; POSITIONING SYSTEMS; COMMUNICATION;
D O I
10.1109/ACCESS.2020.2992996
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Indoor positioning systems are facing to the demand of large-scale industrial applications in mobile robotics. It is still challenging to create an indoor positioning system that is easily embeddable, accurate, robust and power efficient. We constructed an easily embeddable, low-power optical sensor named InLock without lens to localize a mobile robot indoors moving at 0.20 m/s with an accuracy inferior to 10cm for the position and 0.1rad for the heading by using only three photo-detectors (PDs) and two infrared Light-Emitting Diodes (LEDs). (i) We modelled the optical sensor based on only three photo-detectors and two infrared LEDs by taking into account radiometric properties. (ii) We constructed the optical sensor by optimizing the geometry of the beacon and the receiver. (iii) We implemented and validated online estimation algorithms for an operating range at a height up to 3m by using an extended Kalman filter and a complementary filter. Our results showed that modelling the optical sensor so that it takes into account radiometric properties and it optimizes the geometry of the beacon can enhance the accuracy of the indoor positioning system.
引用
收藏
页码:87490 / 87503
页数:14
相关论文
共 26 条
[1]  
[Anonymous], 2015, Visible light communication
[2]   Past, Present, and Future of Simultaneous Localization and Mapping: Toward the Robust-Perception Age [J].
Cadena, Cesar ;
Carlone, Luca ;
Carrillo, Henry ;
Latif, Yasir ;
Scaramuzza, Davide ;
Neira, Jose ;
Reid, Ian ;
Leonard, John J. .
IEEE TRANSACTIONS ON ROBOTICS, 2016, 32 (06) :1309-1332
[3]   Intelligent Fusion of Wi-Fi and Inertial Sensor-Based Positioning Systems for Indoor Pedestrian Navigation [J].
Chen, Lyu-Han ;
Wu, Eric Hsiao-Kuang ;
Jin, Ming-Hui ;
Chen, Gen-Huey .
IEEE SENSORS JOURNAL, 2014, 14 (11) :4034-4042
[4]   Visible light communication and positioning using positioning cells and machine learning algorithms [J].
Chuang, Yu-Cheng ;
Li, Zhi-Qing ;
Hsu, Chin-Wei ;
Liu, Yang ;
Chow, Chi-Wai .
OPTICS EXPRESS, 2019, 27 (11) :16377-16383
[5]   High angular resolution visible light positioning using a quadrant photodiode angular diversity aperture receiver (QADA) [J].
Cincotta, Stefanie ;
He, Cuiwei ;
Neild, Adrian ;
Armstrong, Jean .
OPTICS EXPRESS, 2018, 26 (07) :9230-9242
[6]   Demonstration of a Low-Complexity Indoor Visible Light Positioning System Using an Enhanced TDOA Scheme [J].
Du, Pengfei ;
Zhang, Sheng ;
Chen, Chen ;
Alphones, Arokiaswami ;
Zhong, Wen-De .
IEEE PHOTONICS JOURNAL, 2018, 10 (04)
[7]  
Dudek G., 2008, Springer Handbook of Robotics, P477, DOI [DOI 10.1007/978-3-540-30301-5_21, 10.1007/978-3-540- 30301-5_21.]
[8]   Visible Light Positioning and Lighting Based on Identity Positioning and RF Carrier Allocation Technique Using a Solar Cell Receiver [J].
Hsu, Chin-Wei ;
Wu, Jhao-Ting ;
Wang, Hao-Yu ;
Chow, Chi-Wai ;
Lee, Chun-Hsing ;
Chu, Mu-Tao ;
Yeh, Chien-Hung .
IEEE PHOTONICS JOURNAL, 2016, 8 (04)
[9]  
Ijaz F, 2013, INT CONF ADV COMMUN, P1146
[10]   Tilted receiver angle error compensated indoor positioning system based on visible light communication [J].
Jeong, E. -M. ;
Yang, S. -H. ;
Kim, H. -S. ;
Han, S. -K. .
ELECTRONICS LETTERS, 2013, 49 (14) :890-891