Real time multi-sensor fusion and navigation for mobile robots

被引:0
|
作者
Yenilmez, L [1 ]
Temeltas, H [1 ]
机构
[1] Air Force Acad, Dept Elect Engn, TR-34807 Istanbul, Turkey
关键词
D O I
暂无
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
This paper present a multi-sensor system for combining measurements from ultrasonic and infrared sensors and navigation for any mobile robot. Using this kind of sensor fusion, one mobile robot can be used to solve the obstacle detection, avoidance and path-planning problems inside any working environment. The implementation uses a mobile robot equipped with an on-board microcomputer and a ring, called Infrasonic Ring, which consists of an array of twelve ultrasonic and seventy-two infra-red echo ranging sensors to obtain a 360-degree sweep horizontally. Measurement data gathered from the our Infrasonic Ring are integrated to avoid the mobile robot from the unknown obstacles and plan the target-path using the 'Artificial Potential Field' concept[l, 7, 8, 9]. In this study, we assume that the precise position and orientation information of the mobile robot are updated using our previous robot localization studies [2, 3, 4].
引用
收藏
页码:221 / 225
页数:5
相关论文
共 50 条
  • [1] Autonomous Navigation System for Indoor Mobile Robots Based on a Multi-sensor Fusion Technology
    Wang, Hongcheng
    Chen, Niansheng
    Yang, Dingyu
    Fan, Guangyu
    [J]. COMPUTER SUPPORTED COOPERATIVE WORK AND SOCIAL COMPUTING, CHINESECSCW 2021, PT I, 2022, 1491 : 502 - 517
  • [2] A multi-sensor fusion SLAM approach for mobile robots
    Fang, Fang
    Ma, Xudong
    Dai, Xianzhong
    [J]. 2005 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS AND AUTOMATIONS, VOLS 1-4, CONFERENCE PROCEEDINGS, 2005, : 1837 - 1841
  • [3] Simultaneous localization and mapping of mobile robots with multi-sensor fusion
    Zhang, Kui
    Cui, Haihua
    Yan, Xiaomei
    [J]. Applied Mathematics and Nonlinear Sciences, 2024, 9 (01)
  • [4] Real-Time Vehicles Tracking Based on Mobile Multi-Sensor Fusion
    Plangi, Siim
    Hadachi, Amnir
    Lind, Artjom
    Bensrhair, Abdelaziz
    [J]. IEEE SENSORS JOURNAL, 2018, 18 (24) : 10077 - 10084
  • [5] Navigation algorithm of autonomous mobile robot based on multi-sensor fusion
    Zhou, AY
    Li, X
    Liu, ZS
    [J]. PROCEEDINGS OF THE THIRD INTERNATIONAL SYMPOSIUM ON INSTRUMENTATION SCIENCE AND TECHNOLOGY, VOL 1, 2004, : 693 - 697
  • [6] An Outline of Multi-Sensor Fusion Methods for Mobile Agents Indoor Navigation
    Qu, Yuanhao
    Yang, Minghao
    Zhang, Jiaqing
    Xie, Wu
    Qiang, Baohua
    Chen, Jinlong
    [J]. SENSORS, 2021, 21 (05) : 1 - 26
  • [7] Dynamic multi-sensor fusion for mobile robot navigation in an indoor environment
    Jin, TS
    Lee, JM
    Luk, BL
    Tso, SK
    [J]. SENSOR FUSION AND DECENTRALIZED CONTROL IN ROBOTIC SYSTEMS IV, 2001, 4571 : 139 - 149
  • [8] Autonomous Control of Mobile Robots for Opening Doors Based on Multi-sensor Fusion
    Ma, Xiaomei
    Wang, Chaoli
    [J]. PROCEEDINGS OF 2016 CHINESE INTELLIGENT SYSTEMS CONFERENCE, VOL II, 2016, 405 : 1 - 8
  • [9] Integrated Multi-sensor Fusion for Mapping and Localization in Outdoor Environments for Mobile Robots
    Emter, Thomas
    Petereit, Janko
    [J]. MULTISENSOR, MULTISOURCE INFORMATION FUSION: ARCHITECTURES, ALGORITHMS, AND APPLICATIONS 2014, 2014, 9121
  • [10] Multi-sensor detection schemes for mobile robots
    Fatemi, A
    Lecocq, H
    [J]. SENSOR FUSION AND DISTRIBUTED ROBOTIC AGENTS, 1996, 2905 : 150 - 160