Drone-Based Path Localization for Surface Mobile Robot with 2D Camera

In water surface search-and-rescue operations, where lives are at extreme risk, a life-saving boat with only a surface-level view can be ineffective, slow, and may miss individuals in distress. By incorporating a drone equipped with a camera, the search area coverage can be significantly increased, and the entire scene can be observed, enhancing the efficiency and effectiveness of the rescue efforts. This paper presents a drone-based path localization system for guiding a surface mobile robot using a 2D camera. A drone equipped with an RGB camera is employed to detect and localize goal points marked by ArUco markers on a surface grid. The system calculates the real-world coordinates of the goal points relative to the mobile robot's position from the images captured by the drone's camera. The experiments were conducted at different drone heights and camera angles to assess the system's accuracy and robustness in different environment. The results demonstrate that the drone can accurately predict the real-world coordinates of points captured by the 2D camera. The system has 2% to 5% errors across all drone altitudes and camera angles. The system's performance suggests its potential application in search and rescue operations, where accurate and reliable navigation is critical.

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Publication Details

Published
2024-12-10
DOI
https://doi.org/10.1109/robio64047.2024.10907505
Citations
4
Primary Topic
Robotic Path Planning Algorithms
Type
article
Field-Weighted Citation Impact
1.00
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article

Drone-Based Path Localization for Surface Mobile Robot with 2D Camera

Ronnapee Chaichaowarat, Thanakorn Sappakit, Nunnapat Anupongongarch, Wisuwat Kalimpan et al.
4 citations
Robotic Path Planning Algorithms
1.00
article

Drone-Based Path Localization for Surface Mobile Robot with 2D Camera

Ronnapee Chaichaowarat, Thanakorn Sappakit, Nunnapat Anupongongarch, Wisuwat Kalimpan, Tanakrit Suetrong, Ronakorn Saetang, Kanisorn Ananwattanawit
article en
4 citations

Abstract

In water surface search-and-rescue operations, where lives are at extreme risk, a life-saving boat with only a surface-level view can be ineffective, slow, and may miss individuals in distress. By incorporating a drone equipped with a camera, the search area coverage can be significantly increased, and the entire scene can be observed, enhancing the efficiency and effectiveness of the rescue efforts. This paper presents a drone-based path localization system for guiding a surface mobile robot using a 2D camera. A drone equipped with an RGB camera is employed to detect and localize goal points marked by ArUco markers on a surface grid. The system calculates the real-world coordinates of the goal points relative to the mobile robot's position from the images captured by the drone's camera. The experiments were conducted at different drone heights and camera angles to assess the system's accuracy and robustness in different environment. The results demonstrate that the drone can accurately predict the real-world coordinates of points captured by the 2D camera. The system has 2% to 5% errors across all drone altitudes and camera angles. The system's performance suggests its potential application in search and rescue operations, where accurate and reliable navigation is critical.

Chulalongkorn University (TH)
Affordable and clean energy
Openalex Percentile: Top 21%
Robotic Path Planning Algorithms
1.00
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Drone-Based Path Localization for Surface Mobile Robot with 2D Camera — Ronnapee Chaichaowarat, Thanakorn Sappakit, et al. · (2024) | TGRS Research Map | TGRS