Camera-based mapping in search-and-rescue via flying and ground robot teams

被引:0
|
作者
Henriques, Bernardo Esteves [1 ]
Baglioni, Mirko [1 ]
Jamshidnejad, Anahita [1 ]
机构
[1] Delft Univ Technol, Control & Operat Dept, Kluyverweg 1, NL-2629 HS Delft, Netherlands
关键词
Search and rescue robotics; Computer vision; Object detection; Pose estimation; Homography estimation; State estimation; Terrain mapping;
D O I
10.1007/s00138-024-01594-4
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Search and rescue (SaR) is challenging, due to the unknown environmental situation after disasters occur. Robotics has become indispensable for precise mapping of the environment and for locating the victims. Combining flying and ground robots more effectively serves this purpose, due to their complementary features in terms of viewpoint and maneuvering. To this end, a novel, cost-effective framework for mapping unknown environments is introduced that leverages You Only Look Once and video streams transmitted by a ground and a flying robot. The integrated mapping approach is for performing three crucial SaR tasks: localizing the victims, i.e., determining their position in the environment and their body pose, tracking the moving victims, and providing a map of the ground elevation that assists both the ground robot and the SaR crew in navigating the SaR environment. In real-life experiments at the CyberZoo of the Delft University of Technology, the framework proved very effective and precise for all these tasks, particularly in occluded and complex environments.
引用
收藏
页数:18
相关论文
共 50 条
  • [31] Collision Free Navigation of a Flying Robot for Underground Mine Search and Mapping
    Li, Hang
    Savkin, Andrey V.
    Vucetic, Branka
    2018 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND BIOMIMETICS (ROBIO), 2018, : 1102 - 1106
  • [32] COMPRA: A COMPact Reactive Autonomy Framework for Subterranean MAV Based Search-And-Rescue Operations
    Björn Lindqvist
    Christoforos Kanellakis
    Sina Sharif Mansouri
    Ali-akbar Agha-mohammadi
    George Nikolakopoulos
    Journal of Intelligent & Robotic Systems, 2022, 105
  • [33] COMPRA: A COMPact Reactive Autonomy Framework for Subterranean MAV Based Search-And-Rescue Operations
    Lindqvist, Bjorn
    Kanellakis, Christoforos
    Mansouri, Sina Sharif
    Agha-mohammadi, Ali-akbar
    Nikolakopoulos, George
    JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS, 2022, 105 (03)
  • [34] Information-Based Control of Robots in Search-and-Rescue Missions With Human Prior Knowledge
    Krzysiak, Rafal
    Butail, Sachit
    IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 2022, 52 (01) : 52 - 63
  • [35] Visual-Biased Observability Index for Camera-Based Robot Calibration
    Shirafuji, Shouhei
    Goto, Hiroki
    Zhang, Xiaotian
    Okuhara, Keiji
    Takamura, Noritaka
    Kagawa, Naoya
    Baba, Hiroyasu
    Ota, Jun
    Journal of Mechanisms and Robotics, 2024, 16 (05):
  • [36] Depth Camera-Based Robot-Assisted Ultrasonic Lipolysis System
    Yan M.
    Chai G.
    Xie L.
    Journal of Shanghai Jiaotong University (Science), 2022, 27 (01): : 36 - 44
  • [37] Visual-Biased Observability Index for Camera-Based Robot Calibration
    Shirafuji, Shouhei
    Goto, Hiroki
    Zhang, Xiaotian
    Okuhara, Keiji
    Takamura, Noritaka
    Kagawa, Naoya
    Baba, Hiroyasu
    Ota, Jun
    JOURNAL OF MECHANISMS AND ROBOTICS-TRANSACTIONS OF THE ASME, 2024, 16 (05):
  • [38] (MARGOT) Monocular Camera-Based Robot Grasping Strategy for Metallic Objects
    Veiga Almagro, Carlos
    Munoz Orrego, Renato Andres
    Gonzalez, Alvaro Garcia
    Matheson, Eloise
    Marin Prades, Raul
    Di Castro, Mario
    Ferre Perez, Manuel
    SENSORS, 2023, 23 (11)
  • [39] Multiple camera-based correspondence of ground foot for human motion tracking
    J. Inst. Control Rob. Syst., 2008, 8 (848-855):
  • [40] A review of ground camera-based computer vision techniques for flood management
    Jun, Sanghoon
    Jang, Hyewoon
    Kim, Seungjun
    Lee, Jong-Sub
    Jung, Donghwi
    COMPUTERS AND CONCRETE, 2024, 33 (04): : 425 - 443