Redirigiendo al acceso original de articulo en 21 segundos...
Inicio  /  Applied Sciences  /  Vol: 11 Par: 10 (2021)  /  Artículo
ARTÍCULO
TITULO

Path Planning for Localization of Radiation Sources Based on Principal Component Analysis

Takuya Kishimoto    
Hanwool Woo    
Ren Komatsu    
Yusuke Tamura    
Hideki Tomita    
Kenji Shimazoe    
Atsushi Yamashita and Hajime Asama    

Resumen

In this paper, we propose a path planning method for the localization of radiation sources using a mobile robot equipped with an imaging gamma-ray detector, which has a field of view in all directions. The ability to detect and localize radiation sources is essential for ensuring nuclear safety, security, and surveillance. To enable the autonomous localization of radiation sources, the robot must have the ability to automatically determine the next location for gamma ray measurement instead of following a predefined path. The number of incident events is approximated to be the squared inverse proportional to the distance between the radiation source and the detector. Therefore, the closer the distance to the source, the shorter the time required to obtain the same radiation counts measured by the detector. Hence, the proposed method is designed to reduce this distance to a position where a sufficient number of gamma-ray events can be obtained; then, a path to surround the radiation sources is generated. The proposed method generates this path by performing principal component analysis based on the results obtained from previous measurements. Both simulations and actual experiments demonstrate that the proposed method can automatically generate a measurement path and accurately localize radiation sources.

 Artículos similares

       
 
Chuanwei Zhang, Xinyue Yang, Rui Zhou and Zhongyu Guo    
In order to solve the problem of low safety and efficiency of underground mine vehicles, a path planning method for underground mine vehicles based on an improved A star (A*) and fuzzy control Dynamic Window Approach (DWA) is proposed. Firstly, the envir... ver más
Revista: Applied Sciences

 
Zilin Zhao, Zhi Cai, Mengmeng Chang and Zhiming Ding    
Unconventional events exacerbate the imbalance between regional transportation demand and limited road network resources. Scientific and efficient path planning serves as the foundation for rapidly restoring equilibrium to the road network. In real large... ver más
Revista: Applied Sciences

 
Jinxiong Gao, Xu Geng, Yonghui Zhang and Jingbo Wang    
Underwater autonomous path planning is a critical component of intelligent underwater vehicle system design, especially for maritime conservation and monitoring missions. Effective path planning for these robots necessitates considering various constrain... ver más
Revista: Applied Sciences

 
Saurabh Chatterjee and Kaadaapuram Kurien Issac    
The specific application of this work is in the robotic path planning of camera-based non-destructive testing systems such as active thermography.
Revista: Applied Sciences

 
Shitu Chen, Ling Feng, Xuteng Bao, Zhe Jiang, Bowen Xing and Jingxiang Xu    
Path planning is crucial for unmanned surface vehicles (USVs) to navigate and avoid obstacles efficiently. This study evaluates and contrasts various USV path-planning algorithms, focusing on their effectiveness in dynamic obstacle avoidance, resistance ... ver más