Characterization of the Hokuyo URG-04LX Laser Rangefinder for Mobile Robot Obstacle Negotiation

被引:39
|
作者
Okubo, Yoichi [1 ]
Ye, Cang [2 ]
Borenstein, Johann [1 ]
机构
[1] Univ Michigan, 2260 Hayward St, Ann Arbor, MI 48109 USA
[2] Univ Arkansas, Fayetteville, AR 72701 USA
来源
UNMANNED SYSTEMS TECHNOLOGY XI | 2009年 / 7332卷
关键词
D O I
10.1117/12.818332
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
This paper presents a characterization study of the Hokuyo URG-04LX scanning laser rangefinder (LRF). The Hokuyo LRF is similar in function to the Sick LRF, which has been the de-facto standard range sensor for mobile robot obstacle avoidance and mapping applications for the last decade. Problems with the Sick LRF are its relatively large size, weight, and power consumption, allowing its use only on relatively large mobile robots. The Hokuyo LRF is substantially smaller, lighter, and consumes less power, and is therefore more suitable for small mobile robots. The question is whether it performs just as well as the Sick LRF in typical mobile robot applications. In 2002, two of the authors of the present paper published a characterization study of the Sick LRF. For the present paper we used the exact same test apparatus and test procedures as we did in the 2002 paper, but this time to characterize the Hokuyo LRF. As a result, we are in the unique position of being able to provide not only a detailed characterization study of the Hokuyo LRF, but also to compare the Hokuyo LRF with the Sick LRF under identical test conditions. Among the tested characteristics are sensitivity to a variety of target surface properties and incidence angles, which may potentially affect the sensing performance. We also discuss the performance of the Hokuyo LRF with regard to the mixed pixels problem associated with LRFs. Lastly, the present paper provides a calibration model for improving the accuracy of the Hokuyo LRF.
引用
收藏
页数:10
相关论文
共 30 条
  • [1] Characterization of the compact Hokuyo URG-04LX 2D laser range scanner
    Kneip, Laurent
    Tache, Fabien
    Caprari, Gilles
    Siegwart, Roland
    ICRA: 2009 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS 1-7, 2009, : 2522 - 2529
  • [2] Experimental measurement of parameters of the spatial scanner Hokuyo URG-04LX
    Breda, Robert
    PRZEGLAD ELEKTROTECHNICZNY, 2012, 88 (5B): : 132 - 135
  • [3] Characterization of the Hokuyo UBG-04LX-F01 2D Laser Rangefinder
    Park, Chan-Soo
    Kim, Doik
    You, Bum-Jae
    Oh, Sang-Rok
    2010 IEEE RO-MAN, 2010, : 385 - 390
  • [4] THE EVALUATION OF HOKUYO URG-04LX-UGO1 LASER RANGE FINDER DATA
    Krejsa, J.
    Vechet, S.
    ENGINEERING MECHANICS 2017, 2017, : 522 - 525
  • [5] Characterization of a 2-D laser scanner for mobile robot obstacle negotiation
    Ye, C
    Borenstein, J
    2002 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION, VOLS I-IV, PROCEEDINGS, 2002, : 2512 - 2518
  • [6] Obstacle negotiation of articulated mobile robot
    Xu, Zhengfei
    Yang, Ruqing
    Wang, Tao
    Zhongguo Jixie Gongcheng/China Mechanical Engineering, 2003, 14 (12):
  • [7] On a Laser Rangefinder-based Mobile Robot Obstacle Avoidance Strategy via Local Virtual Target
    Ren, L-M
    Wang, W-D
    Du, Z-J
    LASERS IN ENGINEERING, 2013, 25 (3-4) : 205 - 223
  • [8] Making a map for mobile robot using laser rangefinder
    Haffner, Oto
    Duchon, Frantisek
    2014 23RD INTERNATIONAL CONFERENCE ON ROBOTICS IN ALPE-ADRIA-DANUBE REGION (RAAD), 2014,
  • [9] Design of Laser Rangefinder for Obstacle Avoidance of Intelligent Robot in Cloud Computing Environment
    Pan, Li
    JOURNAL OF ADVANCED COMPUTATIONAL INTELLIGENCE AND INTELLIGENT INFORMATICS, 2019, 23 (02) : 334 - 339
  • [10] Use of Laser Rangefinder to detecting in surroundings of mobile robot the obstacles
    Typiak, Andrzej
    25TH INTERNATIONAL SYMPOSIUM ON AUTOMATION AND ROBOTICS IN CONSTRUCTION - ISARC-2008, 2008, : 246 - 251