Multi-UAV Active Simultaneous Localization and Mapping in Unknown Indoor Environments
Multi-UAV Active Simultaneous Localization and Mapping in Unknown Indoor Environments
批准号:
576966-2022
负责人:
Berkane, SoulaimaneS
金额:
$3.28万
依托单位:
依托单位国家:
加拿大
项目类别:
Alliance Grants
财政年份:
2022
资助国家:
加拿大
项目状态:
已结题
起止时间:
2022-01-01 至 2023-12-31
中文摘要
点击翻译按钮获取中文摘要
英文摘要
Nowadays, unmanned aerial vehicles (UAVs) (also known as drones) are becoming crucial in countless applications. However, most of the traditional commercial drones are remotely piloted or semi-autonomous which places obstacles in the way of their efficient deployment in challenging conditions and time-critical missions (e.g., search and rescue). Fortunately, with the unceasing development of lightweight sensing and sophisticated real-time computing, drones can now be designed to self-perceive and make autonomous decisions during the execution of tasks. Yet, the next generation of UAVs will be living up to the hype only if we are able to successfully and efficiently deploy fleets of fully autonomous UAVs to accomplish even more complex missions and tasks. In fact, multiple drones can be deployed to speed up complex missions while collaboratively mapping and exploring an unknown environment. Collaboration not only accelerates the mapping and exploration process but also minimizes uncertainty in decision making. This research project aims at addressing several challenges related to the design of efficient and reliable localization, mapping, and exploration algorithms for multi-UAV systems navigating in unknown indoor environments. In particular, the challenge consists in deploying a fleet of UAVs, relaying on vision and inertial systems and endowed with limited on-board computational power, to autonomously navigate and map a completely unknown environment as fast and efficiently as possible. Our proposed solution for this technology challenge consists in the amalgamation of different approaches in control systems and robotics at different levels to coordinate the group of UAVs to accomplish this mission. The accomplishment of the research goals outlined in this project will open doors to new and exciting applications for fully autonomous multi-UAV systems operating in tangled environments. This project is also an excellent opportunity to train highly qualified professionals in these promising fields who can become leaders in research and technology, sustaining Canada's economic growth.
期刊论文(0)
专著(0)
科研奖励(0)
会议论文
国内基金
海外基金
登录
查看更多内容
空天地数字农业:无人机(UAV)集群+大数据驱动赋能贵妃枇杷全息农场系统构建与关键技术应用研究
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2025
-
负责人:钱伟
-
依托单位:
UAV/InSAR深度融合采动区地表形变损坏信息提取关键技术研究
-
批准号:52364018
-
项目类别:地区科学基金项目
-
资助金额:32.00万元
-
批准年份:2023
-
负责人:王瑞
-
依托单位:
面向城市边缘网络应急服务调控的RIS-UAV协同资源优化配置研究
-
批准号:62301082
-
项目类别:青年科学基金项目
-
资助金额:30万元
-
批准年份:2023
-
负责人:刘树美
-
依托单位:
多UAV协作的大规模传感网并发充电模型及其服务机制研究
-
批准号:62362017
-
项目类别:地区科学基金项目
-
资助金额:32万元
-
批准年份:2023
-
负责人:神显豪
-
依托单位:
基于UAV和多源卫星遥感数据的青藏高原高寒草地植被覆盖度反演研究
-
批准号:42361023
-
项目类别:地区科学基金项目
-
资助金额:32万元
-
批准年份:2023
-
负责人:陈建军
-
依托单位:
禄丰环状构造的UAV数字地貌建模及地表特征测量模拟分析
-
批准号:62266026
-
项目类别:地区科学基金项目
-
资助金额:34万元
-
批准年份:2022
-
负责人:甘淑
-
依托单位:
基于UAV和卫星遥感数据的桉树林分蓄积量动态变化监测及合理经营周期预测
-
批准号:--
-
项目类别:地区科学基金项目
-
资助金额:33万元
-
批准年份:2022
-
负责人:尤号田
-
依托单位:
BDS/UAV/RTS协同的快速高精度定位定向算法与系统
-
批准号:
-
项目类别:省市级项目
-
资助金额:--
-
批准年份:2022
-
负责人:
-
依托单位:
结合UAV-LiDAR和卫星遥感数据的红树林退化多尺度监测研究
-
批准号:32101525
-
项目类别:青年科学基金项目(C类)
-
资助金额:30.0万元
-
批准年份:2021
-
负责人:王德智
-
依托单位:
基于异类信息融合的UAV自主着舰位姿测量方法
-
批准号:62033010
-
项目类别:重点项目
-
资助金额:272万元
-
批准年份:2020
-
负责人:葛泉波
-
依托单位: