Introduction of a LIDAR-Based Obstacle Detection System on the LineScout Power Line Robot

被引:0
|
作者
Richard, Pierre-Luc [1 ]
Pouliot, Nicolas [1 ]
Montambault, Serge [1 ]
机构
[1] Hydroquebecs Res Inst IREQ, Varennes, PQ J3X 1S1, Canada
关键词
Field robotics; telerobotics; power line inspection robot; LIDAR;
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 is a sequel of an earlier paper that featured a thorough characterization of the Hokuyo UTM-30LX laser range finder, which showed promise for a specific application: allowing a power line robot to detect obstacles in its path. After a quick summary of the earlier conclusions, this paper pushes the validation farther by assessing for the first time this popular LIDAR's performance when subjected to the particularly challenging, outdoor, power line environmental conditions: large temperature range, changes in lighting, strong magnetic fields, and oscillating or vibrating targets. Use of return signal intensity, predictably affected by the angle of incidence on the target and by target surface finish, is also investigated as a means to detect variations due to an obstacle. Scanning results with LineScout traveling at maximum speed on a full-scale power line span are then analyzed to validate the proposed detection thresholds.
引用
收藏
页码:1734 / 1740
页数:7
相关论文
共 50 条
  • [31] A LiDAR-Based Backfill Monitoring System
    Xu, Xingliang
    Huang, Pengli
    He, Zhengxiang
    Zhao, Ziyu
    Bi, Lin
    Applied Sciences (Switzerland), 2024, 14 (24):
  • [32] Low-Cost LIDAR-Based Monitoring System for Fall Detection
    Pineiro, Miguel
    Araya, David
    Ruete, David
    Taramasco, Carla
    IEEE ACCESS, 2024, 12 : 72051 - 72061
  • [33] LiDAR-Based System and Optical VHR Data for Building Detection and Mapping
    Ullo, Silvia Liberata
    Zarro, Chiara
    Wojtowicz, Konrad
    Meoli, Giuseppe
    Focareta, Mariano
    SENSORS, 2020, 20 (05)
  • [34] LiDAR-based Obstacle Detection and Avoidance for Autonomous Vehicles using Raspberry Pi 3B
    Calcroft, Max
    Khan, Asiya
    2022 UKACC 13TH INTERNATIONAL CONFERENCE ON CONTROL (CONTROL), 2022, : 24 - 29
  • [35] Efficient LiDAR-based In-water Obstacle Detection and Segmentation by Autonomous Surface Vehicles in Aquatic Environments
    Jeong, Mingi
    Li, Alberto Quattrini
    2021 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2021, : 5387 - 5394
  • [36] Lidar-Based bridge structure defect detection
    W. Liu
    S. Chen
    E. Hauser
    Experimental Techniques, 2011, 35 : 27 - 34
  • [37] LiDAR-BASED BRIDGE STRUCTURE DEFECT DETECTION
    Liu, W.
    Chen, S.
    Hauser, E.
    EXPERIMENTAL TECHNIQUES, 2011, 35 (06) : 27 - 34
  • [38] LiDAR-based detection and tracking of small UAVs
    Hammer, Marcus
    Hebel, Marcus
    Laurenzis, Martin
    Arens, Michael
    EMERGING IMAGING AND SENSING TECHNOLOGIES FOR SECURITY AND DEFENCE III; AND UNMANNED SENSORS, SYSTEMS, AND COUNTERMEASURES, 2018, 10799
  • [39] LiDAR-Based Dense Pedestrian Detection and Tracking
    Wang, Wenguang
    Chang, Xiyuan
    Yang, Jihuang
    Xu, Gaofei
    APPLIED SCIENCES-BASEL, 2022, 12 (04):
  • [40] On Onboard LiDAR-Based Flying Object Detection
    Vrba, Matous
    Walter, Viktor
    Pritzl, Vaclav
    Pliska, Michal
    Baca, Tomas
    Spurny, Vojtech
    Hert, Daniel
    Saska, Martin
    IEEE TRANSACTIONS ON ROBOTICS, 2025, 41 : 593 - 611