3D Localization, Mapping and Path Planning for Search and Rescue Operations

被引：0
|
作者：
Dube, R. [1 ]
Gawel, A. [1 ]
Cadena, C. [1 ]
Siegwart, R. [1 ]
Freda, L. [2 ]
Gianni, M. [2 ]
机构：
[1] Swiss Fed Inst Technol, Autonomous Syst Lab, Zurich, Switzerland
[2] Sapienza Univ Rome, DIAG, ALCOR Lab, Rome, Italy
来源：
2016 IEEE INTERNATIONAL SYMPOSIUM ON SAFETY, SECURITY, AND RESCUE ROBOTICS (SSRR) | 2016年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
This work presents our results on 3D robot localization, mapping and path planning for the latest joint exercise of the European project "Long-Term Human-Robot Teaming for Robots Assisted Disaster Response" (TRADR)(1). The full system is operated and evaluated by firemen end-users in real-world search and rescue experiments. We demonstrate that the system is able to plan a path to a goal position desired by the fireman operator in the TRADR Operational Control Unit (OCU), using a persistent 3D map created by the robot during previous sorties.
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页码：272 / 273
页数：2
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