Detection and location of surfaces in a 3D environment through a single transducer and ultrasonic spherical caps

In this paper, an ultrasonic arc map method for flat mapping is extended to three-dimensional space replacing the circumference arcs by spherical caps. An enclosed environment is scanned by employing a single ultrasonic device. The range, position, and orientation of the transducer are used to digit...

Full description

Autores:
Moreno-Ortiz, Fabio Tomás
Castillo-Castañeda, Eduardo
Hernández-Zavala, Antonio
Tipo de recurso:
Article of journal
Fecha de publicación:
2017
Institución:
Universidad Nacional de Colombia
Repositorio:
Universidad Nacional de Colombia
Idioma:
spa
OAI Identifier:
oai:repositorio.unal.edu.co:unal/67556
Acceso en línea:
https://repositorio.unal.edu.co/handle/unal/67556
http://bdigital.unal.edu.co/68585/
Palabra clave:
62 Ingeniería y operaciones afines / Engineering
Ultrasonic arc map
sonar resolution
SLAM
Bresenham algorithm
voxelized spherical cap
beam pattern
spatial voting
Mapa de arco ultrasónico
resolución del sonar
SLAM
algoritmo de Bresenham
casquete esférico voxelizado
patrón de dispersión
votación espacial
Rights
openAccess
License
Atribución-NoComercial 4.0 Internacional
Description
Summary:In this paper, an ultrasonic arc map method for flat mapping is extended to three-dimensional space replacing the circumference arcs by spherical caps. An enclosed environment is scanned by employing a single ultrasonic device. The range, position, and orientation of the transducer are used to digitize the uncertainty caps and place them in a three-dimensional map. Through the spatial voting method, the generated voxels are elected in order to distinguish those which mark the true position of an obstacle and discard those that are produced by cross talk, noise, fake ranges, and angular resolution. The results show that it is possible to obtain sufficient information to build a three-dimensional map for navigation by employing inexpensive sensors and a low power data processing.