DocumentCode
3580241
Title
Task and motion planning for selective weed conrol using a team of autonomous vehicles
Author
Hameed, I.A. ; La Cour-Harbo, A. ; Hansen, K.D.
Author_Institution
Dept. of Electron. Syst., Aalborg Univ., Aalborg, Denmark
fYear
2014
Firstpage
1853
Lastpage
1857
Abstract
Conventional agricultural fields are sprayed uniformly to control weeds, insects, and diseases. To reduce cultivation expenses, to produce healthier food and to create more environmentally friendly farms, chemicals should only be applied to the right place at the right time and exactly with the right amount. In this article, a task and motion planning for a team of autonomous vehicles to reduce chemicals in farming is presented. Field data are collected by small unmanned helicopters equipped with a range of sensors, including multispectral and thermal cameras. Data collected are transmitted to a ground station to be analyzed and triggers aerial and ground-based vehicles to start close inspection and/or plant/weed treatment in specified areas. A complete trajectory is generated to enable ground-based vehicle to visit infested areas and start chemical/mechanical weed treatment.
Keywords
agriculture; aircraft control; autonomous aerial vehicles; crops; helicopters; image sensors; industrial robots; infrared imaging; mobile robots; motion control; path planning; robot vision; trajectory control; aerial vehicles; agricultural fields; autonomous vehicles; chemical reduction; chemical weed treatment; disease control; farming; field data collection; ground-based vehicles; insect control; mechanical weed treatment; motion control; motion planning; multispectral cameras; selective weed control; small unmanned helicopters; task planning; thermal cameras; turning trajectory; Agriculture; Mobile robots; Planning; Trajectory; Turning; Vehicles; ASETA; motion control; path planning; turning trajectory;
fLanguage
English
Publisher
ieee
Conference_Titel
Control Automation Robotics & Vision (ICARCV), 2014 13th International Conference on
Type
conf
DOI
10.1109/ICARCV.2014.7064598
Filename
7064598
Link To Document