End-to-end Learning for Autonomous Crop Row-following
Authors:
- Marianne BakkenMBMarianne Bakken
- Richard J.D. MooreRMRichard J.D. Moore
- Pål FromPFPål From
- 1 January 2019
- journal article
- Published by Elsevier in IFAC-PapersOnLine
- Vol. 52 (30) , 102-107
Abstract
No abstract availableKeywords
This publication has 10 references indexed in Scilit:
- DroNet: Learning to Fly by DrivingIEEE Robotics and Automation Letters, 2018
- Toward low-flying autonomous MAV trail navigation using deep neural networks for environmental awareness2017
- CAD2RL: Real Single-Image Flight Without a Single Real Image2017
- Learning crop models for vision-based guidance of agricultural robots2015
- A machine vision based crop rows detection for agricultural robots2010
- The Pascal Visual Object Classes (VOC) ChallengeInternational Journal of Computer Vision, 2009
- ImageNet: A large-scale hierarchical image database2009
- Supporting user-oriented analysis for multi-view domain-specific visual languagesInformation and Software Technology, 2009
- A vision based row detection system for sugar beetComputers and Electronics in Agriculture, 2008
- A Stereovision-based Crop Row Detection Method for Tractor-automated GuidanceBiosystems Engineering, 2005