文献类型： 会议论文

第一作者： Wajahat Kazmi

作者： Wajahat Kazmi ¹ ; Morten Bisgaard ² ; Francisco Garcia-Ruiz ³ ; Karl D. Hansen ² ; Anders la Cour-Harbo ² ;

作者机构： 1.Department of Architecture, Design and Media Technology, Aalborg University, Aalborg-9220, Denmark

2.Department of Electronics Systems, Aalborg University, Aalborg-9220, Denmark

3.Department of Agriculture and Ecology, University of Copenhagen, Taastrup-2630, Denmark

关键词： multivehicle cooperation;multispectral imaging;precision farming;3D computer vision

会议名称： European conference on mobile robots

主办单位：

页码： 253-258

摘要： The ASETA project (acronym for Adaptive Surveying and Early treatment of crops with a Team of Autonomous vehicles) is a multi-disciplinary project combining cooperating airborne and ground-based vehicles with advanced sensors and automated analysis to implement a smart treatment of weeds in agricultural fields. The purpose is to control and reduce the amount of herbicides, consumed energy and vehicle emissions in the weed detection and treatment process, thus reducing the environmental impact. The project addresses this issue through a closed loop cooperation among a team of unmanned aircraft system (UAS) and unmanned ground vehicles (UGV) with advanced vision sensors for 3D and multispectral imaging. This paper presents the scientific and technological challenges in the project, which include multivehicle estimation and guidance, heterogeneous multi-agent systems, task generation and allocation, remote sensing and 3D computer vision.

分类号： TP24