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
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