Autonomous perception techniques for urban and industrial fire scenarios

被引：0

作者：

Capitan, J. ^{[1
]}

Mantecon, D. ^{[1
]}

Soriano, P. ^{[1
]}

Ollero, A. ^{[1
]}

机构：

[1] Escuela Superior Ingn, Robot Comp Vis & Intelligent Control Grp, Seville 41092, Spain

来源：

2007 IEEE INTERNATIONAL WORKSHOP ON SAFETY, SECURITY AND RESCUE ROBOTICS | 2007年

关键词：

computer vision; cooperative Perception; fire scenarios; smoke detection; person tracking;

D O I：

暂无

中图分类号：

TP24 [机器人技术];

学科分类号：

080202 ; 1405 ;

摘要：

This paper presents autonomous perception techniques for disaster management and particularly for urban and industrial fire scenarios. The perception from static and mobile (on-board UAV) cameras is considered for smoke detection and cooperative tracking The algorithms used to achieve these functionalities will be described. The implementation of these techniques in the AWARE platform and the application in the general AWARE experiments to detect smoke and track firemen of the Seville fire brigades will also be presented.

引用

页码：36 / 41

页数：6

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