Multi-Camera Sensor System for 3D Segmentation and Localization of Multiple Mobile Robots

Sensors

Cristina Losada¹  Manuel Mazo²  Sira Palazuelos²  Daniel Pizarro² 

[1] Electronics Department, University of Alcalá, Campus Universitario s/n, 28805, Alcalá de Henares, Madrid. Spain.

关键词: multi-camera sensor;    intelligent space;    motion segmentation;    3D positioning;    mobile robots;   

DOI  :  10.3390/s100403261

来源: mdpi

【 摘 要 】

This paper presents a method for obtaining the motion segmentation and 3D localization of multiple mobile robots in an intelligent space using a multi-camera sensor system. The set of calibrated and synchronized cameras are placed in fixed positions within the environment (intelligent space). The proposed algorithm for motion segmentation and 3D localization is based on the minimization of an objective function. This function includes information from all the cameras, and it does not rely on previous knowledge or invasive landmarks on board the robots. The proposed objective function depends on three groups of variables: the segmentation boundaries, the motion parameters and the depth. For the objective function minimization, we use a greedy iterative algorithm with three steps that, after initialization of segmentation boundaries and depth, are repeated until convergence.

【 授权许可】

CC BY   
© 2010 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.