A Low-Altitude Obstacle Avoidance Method for UAVs Based on Polyhedral Flight Corridor

被引:4
|
作者
Ma, Zhaowei [1 ]
Wang, Zhongming [1 ]
Ma, Aitong [1 ]
Liu, Yunzhuo [1 ]
Niu, Yifeng [1 ]
机构
[1] Natl Univ Def Technol, Coll Intelligence Sci & Technol, Changsha 410073, Peoples R China
基金
中国国家自然科学基金;
关键词
UAV; autonomous obstacle avoidance; flight corridors; motion planning; TRAJECTORY GENERATION;
D O I
10.3390/drones7090588
中图分类号
TP7 [遥感技术];
学科分类号
081102 ; 0816 ; 081602 ; 083002 ; 1404 ;
摘要
UAVs flying in complex low-altitude environments often require real-time sensing to avoidenvironmental obstacles. In previous approaches, UAVs have usually carried out motion planningbased on primitive navigation maps such as point clouds and raster maps to achieve autonomousobstacle avoidance. However, due to the huge amount of data in these raw navigation maps and thehighly discrete map information, the efficiency of solving the UAV's real-time trajectory optimizationis low, making it difficult to meet the demand for efficient online motion planning. A flight corridor isa series of unobstructed continuous areas and has convex properties. The flight corridor can be usedas a simple parametric representation to characterize the safe flight space in the environment, andused as the cost of the collision term in the trajectory back-end optimization for trajectory solving,which can improve the efficiency of real-time trajectory solving and ensure flight safety. Therefore,this paper focuses on the construction of safe flight corridors for UAVs and autonomous obstacleavoidance algorithms for UAVs based on safe flight corridors, based on a rotary-wing UAV platform,and proposes a polyhedral flight corridor construction algorithm and realizes autonomous obstacleavoidance for UAVs based on the constructed flight corridors.
引用
收藏
页数:18
相关论文
共 50 条
  • [21] Modeling and detection of low-altitude flight conflict network based on SVM
    Zheng Y.
    Le Z.
    Huanquan X.
    Junhao L.
    XuGuang W.
    Chuanjiang P.
    Wei Y.
    Measurement: Sensors, 2024, 31
  • [22] Research on Demand-Based Scheduling Scheme of Urban Low-Altitude Logistics UAVs
    Zhang, Honghai
    Wu, Shixin
    Feng, Ouge
    Tian, Tian
    Huang, Yuting
    Zhong, Gang
    APPLIED SCIENCES-BASEL, 2023, 13 (09):
  • [23] Path planning for low-altitude flight by fuzzy reasoning
    Nomoto, K
    Kameda, H
    Mano, S
    Tachibana, Y
    ELECTRONICS AND COMMUNICATIONS IN JAPAN PART I-COMMUNICATIONS, 1996, 79 (03): : 92 - 101
  • [24] A METHOD OF RESCUE FLIGHT PATH PLAN CORRECTION BASED ON THE FUSION OF PREDICTED LOW-ALTITUDE WIND DATA
    Zhang, Ming
    Wang, Shuo
    Yu, Hui
    PROMET-TRAFFIC & TRANSPORTATION, 2016, 28 (05): : 479 - 485
  • [25] Automatic control system of low-altitude flight UAV
    Kozlov, A. P.
    2012 2ND INTERNATIONAL CONFERENCE METHODS AND SYSTEMS OF NAVIGATION AND MOTION CONTROL (MSNMC), 2012, : 156 - 158
  • [26] Structures of the low-altitude stationary flight test vehicle
    Maekawa, Shoji
    Nakadate, Masaaki
    Takegaki, Atsushi
    JOURNAL OF AIRCRAFT, 2007, 44 (02): : 662 - 666
  • [27] OPERATOR PERFORMANCE IN SIMULATED LOW-ALTITUDE HIGHSPEED FLIGHT
    SOLIDAY, SM
    AEROSPACE MEDICINE, 1964, 35 (03): : 280 - &
  • [28] Low-altitude Fixed-wing UAV Obstacle Recognition Based on Deep Learning
    Ding, Dian
    Wang, Yangzhu
    Xiao, Yao
    Han, Zhen
    2018 IEEE CSAA GUIDANCE, NAVIGATION AND CONTROL CONFERENCE (CGNCC), 2018,
  • [29] ANALYSIS OF IMAGE-BASED NAVIGATION SYSTEM FOR ROTOCRAFT LOW-ALTITUDE FLIGHT
    SRIDHAR, B
    PHATAK, AV
    IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS, 1992, 22 (02): : 290 - 299
  • [30] Conflict resolution algorithms for UAV low-altitude flight based on reachable set
    Yang J.
    Zhang F.
    Wang J.
    Beijing Hangkong Hangtian Daxue Xuebao/Journal of Beijing University of Aeronautics and Astronautics, 2023, 49 (07): : 1813 - 1817