Autonomous Ground Vehicle Navigation Method in Complex Environment

被引:4
|
作者
Yi, Yang [1 ]
Fu Mengyin [1 ]
Xin, Yang [1 ]
Xiong Guangming
Gong, J. W.
机构
[1] Beijing Inst Technol, Integrated Nav & Intelligent Nav Lab, Beijing 100081, Peoples R China
关键词
COLLISION-AVOIDANCE; OBSTACLE AVOIDANCE; TERRAIN;
D O I
10.1109/IVS.2010.5547993
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
In this paper, a 3D laser point cloud-based navigation method for autonomous ground vehicles in complex environment is proposed. With a coordinate transformation of laser data from sphere to cylinder, environment perception cylinder is configured. In the cylinder, terrain traversability is predicted through analysis on radial and tangential slope of 3D point cloud. In addition, the candidate point cloud of traversable region has been extracted. Furthermore, navigation circle contained with direction information is built up based on the candidate point cloud. Extended experimental results demonstrate that the method allows autonomous ground vehicle to move safely and correctly in complex environment.
引用
收藏
页码:1060 / 1065
页数:6
相关论文
共 50 条
  • [1] Fuzzy Inference Approach for Autonomous Ground Vehicle Navigation in Dynamic Environment
    Al-Mayyahi, Auday
    Wang, William
    [J]. 2014 IEEE INTERNATIONAL CONFERENCE ON CONTROL SYSTEM COMPUTING AND ENGINEERING, 2014, : 29 - 34
  • [2] Autonomous navigation of a tracked unmanned ground vehicle
    Seder, Marija
    Juric, Andela
    Selek, Ana
    Maric, Filip
    Lovric, Marija
    Petrovic, Ivan
    [J]. IFAC PAPERSONLINE, 2022, 55 (14): : 120 - 125
  • [3] Intelligence Algorithms for Autonomous Navigation in a Ground Vehicle
    Petkovsek, Steve
    Shakya, Rahul
    Shin, Young Ho
    Gautam, Prasanna
    Norton, Adam
    Ahlgren, David J.
    [J]. INTELLIGENT ROBOTS AND COMPUTER VISION XXIX: ALGORITHMS AND TECHNIQUES, 2012, 8301
  • [4] Autonomous Underwater Vehicle Navigation in Structured Environment
    Park, Daegil
    Lee, Yeongjun
    Jung, Kwangyik
    Kang, Hyeong-Joo
    Ki, Hyeonseung
    Lee, Jeong-Woo
    Choi, Young-Ho
    Li, Ji-Hong
    Myung, Hyun
    Choi, Hyun-Taek
    Suh, Jin-Ho
    [J]. 2018 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS (IROS), 2018, : 5039 - 5039
  • [5] Navigation of an autonomous ground vehicle using the subsumption architecture
    Johnson, PJ
    Chapman, KL
    Bay, JS
    [J]. MOBILE ROBOTS XI AND AUTOMATED VEHICLE CONTROL SYSTEMS, 1997, 2903 : 54 - 62
  • [6] Improved Obstacle Avoidance and Navigation for an Autonomous Ground Vehicle
    Giri, Binod
    Cho, Hyunsu
    Williams, Benjamin C.
    Tann, Hokchhay
    Shakya, Bicky
    Bharam, Vishal
    Ahlgren, David J.
    [J]. INTELLIGENT ROBOTS AND COMPUTER VISION XXXII: ALGORITHMS AND TECHNIQUES, 2015, 9406
  • [7] Improved Route Optimization for Autonomous Ground Vehicle Navigation
    Mohammed, Ibrahim
    Erol, Berat A.
    Mohammed, Ikram Hussain
    Benavidez, Patrick J.
    Jamshidi, Mo
    [J]. 2017 12TH SYSTEM OF SYSTEMS ENGINEERING CONFERENCE (SOSE), 2017,
  • [8] Navigation of an autonomous ground vehicle - Gate recognition and crossing
    Lu, Yi
    Polotski, Vladimir
    Sasiadek, Jurek
    [J]. ROMANSY 16: ROBOT DESIGN, DYNAMICS , AND CONTROL, 2006, 487 : 455 - +
  • [9] Representing dynamic environments for autonomous ground vehicle navigation
    Schlenoff, C
    Madhavan, R
    Balakirsky, S
    [J]. IROS 2003: PROCEEDINGS OF THE 2003 IEEE/RSJ INTERNATIONAL CONFERENCE ON INTELLIGENT ROBOTS AND SYSTEMS, VOLS 1-4, 2003, : 644 - 649
  • [10] Cloud Computing for Autonomous Navigation of Unmanned Ground Vehicle
    Ponmagal, R. S.
    Sujatha, K.
    Godhavari, T.
    [J]. 2016 INTERNATIONAL CONFERENCE ON ELECTRICAL, ELECTRONICS, AND OPTIMIZATION TECHNIQUES (ICEEOT), 2016, : 3790 - 3795