Three- Dimensional Velocity Obstacle Method for Uncoordinated Avoidance Maneuvers of Unmanned Aerial Vehicles

被引:30
|
作者
Jenie, Yazdi I. [1 ]
van Kampen, Erik-Jan [1 ]
de Visser, Cornelis C. [1 ]
Ellerbroek, Joost [1 ]
Hoekstra, Jacco M. [1 ]
机构
[1] Delft Univ Technol, Fac Aerosp Engn, Control & Simulat Sect, NL-2629 HS Delft, Netherlands
关键词
SAFETY;
D O I
10.2514/1.G001715
中图分类号
V [航空、航天];
学科分类号
08 ; 0825 ;
摘要
This paper proposes a novel avoidance method called the three-dimensional velocity obstacle method. The method is designed for unmanned aerial vehicle applications, in particular to autonomously handle uncoordinated multiple encounters in an integrated airspace, by exploiting the limited space in a three-dimensional manner. The method is a three-dimensional extension of the velocity obstacle method that can reactively generate an avoidance maneuver by changing the vehicle velocity vector based on the encounter geometry. Adverse maneuvers of the obstacle are anticipated by introducing the concept of a buffer velocity set, which ensures that the ownship will diverge with sufficient space in case of sudden imminence. A three-dimensional resolution is generated by choosing the right plane for avoidance, in which the unmanned aerial vehicle conducts a pure turning maneuver. Implementation of the three-dimensional velocity obstacle method is tested in several simulations that demonstrate its capability to resolve various three-dimensional conflicts. A validation using Monte Carlo simulations is also conducted in stressful super conflict scenarios, which results in zero collisions occurrences for the entire 25,000 samples.
引用
下载
收藏
页码:2312 / 2323
页数:12
相关论文
共 50 条
  • [21] An Obstacle Avoidance Scheme Maintaining Connectivity for Micro-Unmanned Aerial Vehicles
    Choi, Hyo Hyun
    Choi, HyunSoo
    Choi, Myungwhan
    Shon, Taeshik
    Park, ByoungSeob
    INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2014,
  • [22] COMPUTATIONALY SIMPLE OBSTACLE AVOIDANCE CONTROL LAW FOR SMALL UNMANNED AERIAL VEHICLES
    Ciesluk, Jakub
    Gosiewski, Zdzislaw
    Ambroziak, Leszek
    Romaniuk, Slawomir
    ACTA MECHANICA ET AUTOMATICA, 2015, 9 (01) : 50 - 56
  • [23] A Real-time Fuzzy Interacting Multiple-Model Velocity Obstacle Avoidance Approach for Unmanned Aerial Vehicles
    Candan, Fethi
    Beke, Aykut
    Mahfouf, Mahdi
    Mihaylova, Lyudmila
    JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2024, 110 (02)
  • [24] Reconfiguration Control with Collision Avoidance Framework for Unmanned Aerial Vehicles in Three-Dimensional Space
    Lie, Fidelis Adhika Pradipta
    Go, Tiauw Hiong
    JOURNAL OF AEROSPACE ENGINEERING, 2013, 26 (03) : 637 - 645
  • [25] A Method for Autonomous Obstacle Avoidance and Target Tracking of Unmanned Aerial Vehicle
    Jiang, Weilai
    Xu, Guoqiang
    Wang, Yaonan
    Yuhang Xuebao/Journal of Astronautics, 2022, 43 (06): : 802 - 810
  • [26] Monocular Vision-based Obstacle Avoidance Trajectory Planning for Unmanned Aerial Vehicles
    Zhang, Zhouyu
    Zhang, Youmin
    Cao, Yunfeng
    2020 INTERNATIONAL CONFERENCE ON UNMANNED AIRCRAFT SYSTEMS (ICUAS'20), 2020, : 627 - 632
  • [27] Optimization-Based Safety Analysis of Obstacle Avoidance Systems for Unmanned Aerial Vehicles
    Sivaranjini Srikanthakumar
    Cunjia Liu
    Wen Hua Chen
    Journal of Intelligent & Robotic Systems, 2012, 65 : 219 - 231
  • [28] Research on Obstacle Avoidance Technology for Unmanned Aerial Vehicles Based on Panoramic Visual Perception
    Jiang, Xiao-Yan
    Han, Mei
    Zhang, Jun-Kai
    Wu, Xiao-Fei
    Zhang, Xiao-Yang
    Journal of Computers (Taiwan), 2024, 35 (03) : 345 - 361
  • [29] Autonomous Obstacle Avoidance Algorithm for Unmanned Aerial Vehicles Based on Deep Reinforcement Learning
    Gao, Yuan
    Ren, Ling
    Shi, Tianwei
    Xu, Teng
    Ding, Jianbang
    ENGINEERING LETTERS, 2024, 32 (03) : 650 - 660
  • [30] Optimization-Based Safety Analysis of Obstacle Avoidance Systems for Unmanned Aerial Vehicles
    Srikanthakumar, Sivaranjini
    Liu, Cunjia
    Chen, Wen Hua
    JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2012, 65 (1-4) : 219 - 231