alexa Ground based sensing systems for autonomous agricultural vehicles
Engineering

Engineering

Advances in Robotics & Automation

Author(s): Hague T Marchant JA Tillett

Abstract Share this page

This paper examines ground based (as opposed to satellite based) sensing methods for vehicle position fixing. Sensors are considered in various categories, motion measurement (odometry, inertial), artificial landmarks (laser positioning, millimetre wave radar), and local feature detection (sonar, machine vision). Particular emphasis is paid to technologies which have proven successful beyond the field of agriculture, and to machine vision because of its topicality. The importance of sensor fusion, using a sound theoretical framework, is emphasised. The most common technique, the Kalman filter, is outlined and practical points are discussed. As an example system, the autonomous vehicle developed at Silsoe Research Institute is described. This vehicle does not use an absolute positioning system, rather it navigates using local features, in this case the crop plants. This vehicle uses a sensor package that includes machine vision, odometers, accelerometers, and a compass, where sensor fusion is accomplished using an extended Kalman filter. This article was published in Computers and Electronics in Agriculture and referenced in Advances in Robotics & Automation

Relevant Expert PPTs

Relevant Speaker PPTs

Recommended Conferences

Relevant Topics

Peer Reviewed Journals
 
Make the best use of Scientific Research and information from our 700 + peer reviewed, Open Access Journals
International Conferences 2017-18
 
Meet Inspiring Speakers and Experts at our 3000+ Global Annual Meetings

Contact Us

 
© 2008-2017 OMICS International - Open Access Publisher. Best viewed in Mozilla Firefox | Google Chrome | Above IE 7.0 version
adwords